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Given the uncertainty surrounding how existing explainability methods for autonomous vehicles (AVs) meet the diverse needs of stakeholders, a thorough investigation is imperative to determine the contexts requiring explanations and suitable interaction strategies.
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John D Lee and Katrina A See · 2004
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Commentary training improves responsiveness to hazards in a driving simulator
David Crundall, Ben Andrews, Editha Van Loon, and Peter Chapman · 2010
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Presenting system uncertainty in automotive uis for supporting trust calibration in autonomous driving
Tove Helldin, Göran Falkman, Maria Riveiro, and Staffan Davidsson · 2013
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A study of public acceptance of autonomous cars
Adam Sebastian Jardim, Alex Michael Quartulli, and Sean Vincent Casley · 2013
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Potential individual differences regarding automation effects in automated driving
Moritz Körber and Klaus Bengler · 2014
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The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle
Adam Waytz, Joy Heafner, and Nicholas Epley · 2014
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Investigating the importance of trust on adopting an autonomous vehicle
Jong Kyu Choi and Yong Gu Ji · 2015
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In the passenger seat: investigating ride comfort measures in autonomous cars
Mohamed Elbanhawi, Milan Simic, and Reza Jazar · 2015
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Trust in automation: Integrating empirical evidence on factors that influence trust
Kevin Anthony Hoff and Masooda Bashir · 2015
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Why did my car just do that? explaining semi-autonomous driving actions to improve driver understanding, trust, and performance
Jeamin Koo, Jungsuk Kwac, Wendy Ju, Martin Steinert, Larry Leifer, and Clifford Nass · 2015
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Head-up vs. head-down displays: examining traditional methods of display assessment while driving
Missie Smith, Joseph L Gabbard, and Christian Conley · 2016
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Definitions and conceptual dimensions of responsible research and innovation: A literature review
Mirjam Burget, Emanuele Bardone, and Margus Pedaste · 2017
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Creating appropriate trust in automated vehicle systems: A framework for hmi design
Fredrick Ekman, Mikael Johansson, and Jana Sochor · 2017
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Age differences in acceptance of self-driving cars: A survey of perceptions and attitudes
Chaiwoo Lee, Carley Ward, Martina Raue, Lisa D’Ambrosio, and Joseph F Coughlin · 2017
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Impact of training and in-vehicle task performance on manual control recovery in an automated car
William Payre, Julien Cestac, Nguyen-Thong Dang, Fabrice Vienne, and Patricia Delhomme · 2017
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Virtual reality based study to analyse pedestrian attitude towards autonomous vehicles
Anantha Pillai · 2017
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Situation awareness-based agent transparency and human-autonomy teaming effectiveness
Jessie YC Chen, Shan G Lakhmani, Kimberly Stowers, Anthony R Selkowitz, Julia L Wright, and Michael Barnes · 2018
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Interface concepts for intent communication from autonomous vehicles to vulnerable road users
Debargha Dey, Marieke Martens, Chao Wang, Felix Ros, and Jacques Terken · 2018
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Information expectations in highly and fully automated vehicles
Cyriel Diels and Simon Thompson · 2018
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Voice user interface interaction design research based on user mental model in autonomous vehicle
Yuemeng Du, Jingyan Qin, Shujing Zhang, Sha Cao, and Jinhua Dou · 2018
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Explainable autonomy: A study of explanation styles for building clear mental models
Francisco Javier Chiyah Garcia, David A Robb, Xingkun Liu, Atanas Laskov, Pedro Patron, and Helen Hastie · 2018
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Explanation to avert surprise
Melinda T Gervasio, Karen L Myers, Eric Yeh, and Boone Adkins · 2018
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Communicating intent of automated vehicles to pedestrians
Azra Habibovic, Victor Malmsten Lundgren, Jonas Andersson, Maria Klingegård, Tobias Lagström, Anna Sirkka, Johan Fagerlönn, Claes Edgren, Rikard Fredriksson, Stas Krupenia, et al · 2018
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Explanations and expectations: Trust building in automated vehicles
Jacob Haspiel, Na Du, Jill Meyerson, Lionel P Robert Jr, Dawn Tilbury, X Jessie Yang, and Anuj K Pradhan · 2018
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Metrics for explainable ai: Challenges and prospects
Robert R Hoffman, Shane T Mueller, Gary Klein, and Jordan Litman · 2018
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Road vehicles: Ergonomic aspects of external visual communication from automated vehicles to other road users. standard. international organization for standardization
ISO/TR23049 · 2018
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Textual explanations for self-driving vehicles
Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, and Zeynep Akata · 2018
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Practical experience report: Automotive safety practices vs. accepted principles
Philip Koopman · 2018
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Introduction matters: Manipulating trust in automation and reliance in automated driving
Moritz Körber, Eva Baseler, and Klaus Bengler · 2018
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Augmented reality displays for communicating uncertainty information in automated driving
Alexander Kunze, Stephen J Summerskill, Russell Marshall, and Ashleigh J Filtness · 2018
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To cross or not to cross: Urgency-based external warning displays on autonomous vehicles to improve pedestrian crossing safety
Yeti Li, Murat Dikmen, Thana G Hussein, Yahui Wang, and Catherine Burns · 2018
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Pedestrians, autonomous vehicles, and cities
Adam Millard-Ball · 2018
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From partial and high automation to manual driving: Relationship between non-driving related tasks, drowsiness and take-over performance
Frederik Naujoks, Simon Höfling, Christian Purucker, and Kathrin Zeeb · 2018
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A framework for designing interactions between pedestrians and driverless cars: insights from a ride-sharing design study
Chelsea Owensby, Martin Tomitsch, and Callum Parker · 2018
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An empirical investigation on consumers’ intentions towards autonomous driving
Ilias Panagiotopoulos and George Dimitrakopoulos · 2018
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Enhancing trust in autonomous vehicles through intelligent user interfaces that mimic human behavior
Peter AM Ruijten, Jacques MB Terken, and Sanjeev N Chandramouli · 2018
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Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles
SAE · 2018
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Personality traits, individual innovativeness and satisfaction with life
Imran Ali · 2019
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Look who’s talking now: Implications of av’s explanations on driver’s trust, av preference, anxiety and mental workload
Na Du, Jacob Haspiel, Qiaoning Zhang, Dawn Tilbury, Anuj K Pradhan, X Jessie Yang, and Lionel P Robert Jr · 2019
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Resurrecting the ghost in the shell: A need-centered development approach for optimizing user experience in highly automated vehicles
Anna-Katharina Frison, Philipp Wintersberger, and Andreas Riener · 2019
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The first impression counts–a combined driving simulator and test track study on the development of trust and acceptance of highly automated driving
Franziska Hartwich, Claudia Witzlack, Matthias Beggiato, and Josef F Krems · 2019
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In automatic we trust: investigating the impact of trust, control, personality characteristics, and extrinsic and intrinsic motivations on the acceptance of autonomous vehicles
Sabrina M Hegner, Ardion D Beldad, and Gary J Brunswick · 2019
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Overtrust in external cues of automated vehicles: an experimental investigation
Kai Holländer, Philipp Wintersberger, and Andreas Butz · 2019
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Pedestrian trust in automated vehicles: Role of traffic signal and av driving behavior
Suresh Kumaar Jayaraman, Chandler Creech, Dawn M Tilbury, X Jessie Yang, Anuj K Pradhan, Katherine M Tsui, and Lionel P Robert Jr · 2019
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Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces
Alexander Kunze, Stephen J Summerskill, Russell Marshall, and Ashleigh J Filtness · 2019
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Conveying uncertainties using peripheral awareness displays in the context of automated driving
Alexander Kunze, Stephen J Summerskill, Russell Marshall, and Ashleigh J Filtness · 2019
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Function-specific uncertainty communication in automated driving
Alexander Kunze, Stephen J Summerskill, Russell Marshall, and Ashleigh J Filtness · 2019
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Joint interaction and trajectory prediction for autonomous driving using graph neural networks
Donsuk Lee, Yiming Gu, Jerrick Hoang, and Micol Marchetti-Bowick · 2019
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Algorithmic decision-making in avs: Understanding ethical and technical concerns for smart cities
Hazel Si Min Lim and Araz Taeihagh · 2019
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The effect of population age on the acceptable safety of self-driving vehicles
Peng Liu, Yawen Zhang, and Zhen He · 2019
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Explanation in artificial intelligence: Insights from the social sciences
Tim Miller · 2019
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Building trust in autonomous vehicles: Role of virtual reality driving simulators in hmi design
Lia Morra, Fabrizio Lamberti, F Gabriele Pratticó, Salvatore La Rosa, and Paolo Montuschi · 2019
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Towards guidelines and verification methods for automated vehicle hmis
Frederik Naujoks, Katharina Wiedemann, Nadja Schömig, Sebastian Hergeth, and Andreas Keinath · 2019
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Designing for projection-based communication between autonomous vehicles and pedestrians
Trung Thanh Nguyen, Kai Holländer, Marius Hoggenmueller, Callum Parker, and Martin Tomitsch · 2019
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Principles of transparency for autonomous vehicles: first results of an experiment with an augmented reality human–machine interface
Raissa Pokam, Serge Debernard, Christine Chauvin, and Sabine Langlois · 2019
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Development and validation of a questionnaire to assess public receptivity toward autonomous vehicles and its relation with the traffic safety climate in china
Weina Qu, Jing Xu, Yan Ge, Xianghong Sun, and Kan Zhang · 2019
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Augmented reality windshield displays and their potential to enhance user experience in automated driving
Andreas Riegler, Philipp Wintersberger, Andreas Riener, and Clemens Holzmann · 2019
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Looking for age differences in self-driving vehicles: examining the effects of automation reliability, driving risk, and physical impairment on trust
Ericka Rovira, Anne Collins McLaughlin, Richard Pak, and Luke High · 2019
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Studying pedestrians’ crossing behavior when interacting with automated vehicles using virtual reality
J Pablo Nuñez Velasco, Haneen Farah, Bart van Arem, and Marjan P Hagenzieker · 2019
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Pedestrians and visual signs of intent: towards expressive autonomous passenger shuttles
Himanshu Verma, Guillaume Pythoud, Grace Eden, Denis Lalanne, and Florian Evéquoz · 2019
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Amused, accepted, and used? attitudes and emotions towards automated vehicles, their relationships, and predictive value for usage intention
Jan C Zoellick, Adelheid Kuhlmey, Liane Schenk, Daniel Schindel, and Stefan Blüher · 2019
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From hmi to hmis: Towards an hmi framework for automated driving
Klaus Bengler, Michael Rettenmaier, Nicole Fritz, and Alexander Feierle · 2020
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Exploration of explainable ai in context of human-machine interface for the assistive driving system
Zenon Chaczko, Marek Kulbacki, Grzegorz Gudzbeler, Mohammad Alsawwaf, Ilya Thai-Chyzhykau, and Peter Wajs-Chaczko · 2020
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Taming the ehmi jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles’ external human-machine interfaces
Debargha Dey, Azra Habibovic, Andreas Löcken, Philipp Wintersberger, Bastian Pfleging, Andreas Riener, Marieke Martens, and Jacques Terken · 2020
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The impact of different human-machine interface feedback modalities on older participants’ user experience of cavs in a simulator environment
Iveta Eimontaite, Alexandra Voinescu, Chris Alford, Praminda Caleb-Solly, and Phillip Morgan · 2020
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External hmi for self-driving vehicles: Which information shall be displayed?
Stefanie M Faas, Lesley-Ann Mathis, and Martin Baumann · 2020
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Is too much system caution counterproductive? effects of varying sensitivity and automation levels in vehicle collision avoidance systems
Ernestine Fu, Mishel Johns, David AB Hyde, Srinath Sibi, Martin Fischer, and David Sirkin · 2020
Cited alongside, same era.
Effects of explanation types and perceived risk on trust in autonomous vehicles
Taehyun Ha, Sangyeon Kim, Donghak Seo, and Sangwon Lee · 2020
Cited alongside, same era.
Displaying vehicle driving mode–effects on pedestrian behavior and perceived safety
Philip Joisten, Emanuel Alexandi, Robin Drews, Liane Klassen, Patrick Petersohn, Alexander Pick, Sarah Schwindt, and Bettina Abendroth · 2020
Cited alongside, same era.
A priori acceptance of highly automated cars in australia, france, and sweden: A theoretically-informed investigation guided by the tpb and utaut
Sherrie-Anne Kaye, Ioni Lewis, Sonja Forward, and Patricia Delhomme · 2020
Cited alongside, same era.
Explainable ai for cultural minds
Hana Kopecka and Jose Such · 2020
Cited alongside, same era.
Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G Lucas, Shay B Cohen, and Stefano V Albrecht · 2022
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Cars that explain: Building trust in autonomous vehicles through explanations and conversations
Balint Gyevnar · 2022
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Evaluation of common external communication concepts of automated vehicles for people with intellectual disabilities
Mathias Haimerl, Mark Colley, and Andreas Riener · 2022
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How users of automated vehicles benefit from predictive ambient light displays
Tobias Hecht, Stefanie Weng, Luca-Felix Kick, and Klaus Bengler · 2022
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Autonomous driving systems and experiences: A comprehensive survey
Saurabh Jain, Adarsh Kumar, Keshav Kaushik, and Rajalakshmi Krishnamurthi · 2022
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The more you know: trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency
Johannes Kraus, David Scholz, Dina Stiegemeier, and Martin Baumann · 2020
Cited alongside, same era.
Autonomous vehicles: Data protection and ethical considerations
Ioannis Krontiris, Kalliroi Grammenou, Kalliopi Terzidou, Marina Zacharopoulou, Marina Tsikintikou, Foteini Baladima, Chrysi Sakellari, and Konstantinos Kaouras · 2020
Cited alongside, same era.
Feeling uncertain—effects of a vibrotactile belt that communicates vehicle sensor uncertainty
Matti Krüger, Tom Driessen, Christiane B Wiebel-Herboth, Joost CF de Winter, and Heiko Wersing · 2020
Cited alongside, same era.
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, and Natalia Díaz-Rodríguez · 2020
Cited alongside, same era.
Computing systems for autonomous driving: State of the art and challenges
Liangkai Liu, Sidi Lu, Ren Zhong, Baofu Wu, Yongtao Yao, Qingyang Zhang, and Weisong Shi · 2020
Cited alongside, same era.
Building proactive voice assistants: When and how (not) to interact
Ondrej Miksik, I Munasinghe, J Asensio-Cubero, S Reddy Bethi, ST Huang, S Zylfo, X Liu, T Nica, A Mitrocsak, S Mezza, et al · 2020
Cited alongside, same era.
What drives the acceptance of autonomous driving? an investigation of acceptance factors from an end-user’s perspective
Ilja Nastjuk, Bernd Herrenkind, Mauricio Marrone, Alfred Benedikt Brendel, and Lutz M Kolbe · 2020
Cited alongside, same era.
A design space for human sensor and actuator focused in-vehicle interaction based on a systematic literature review
Pascal Jansen, Mark Colley, and Enrico Rukzio · 2022
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Inaction: Interpretable action decision making for autonomous driving
Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, and Zhengming Ding · 2022
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Augmented reality for vehicle-driver communication: a systematic review
Liam Kettle and Yi-Ching Lee · 2022
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Explainable ai in scene understanding for autonomous vehicles in unstructured traffic environments on indian roads using the inception u-net model with grad-cam visualization
Suresh Kolekar, Shilpa Gite, Biswajeet Pradhan, and Abdullah Alamri · 2022
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Towards explainable motion prediction using heterogeneous graph representations
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, and David Fernández Llorca · 2022
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Accessible automated automotive workshop series (a3ws): International perspective on inclusive external human-machine interfaces
Andreas Löcken, Andrii Matviienko, Mark Colley, Debargha Dey, Azra Habibovic, Yee Mun Lee, and Andreas Riener · 2022
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A survey of human action recognition and posture prediction
Nan Ma, Zhixuan Wu, Yiu-ming Cheung, Yuchen Guo, Yue Gao, Jiahong Li, and Beijyan Jiang · 2022
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Roadscene2vec: A tool for extracting and embedding road scene-graphs
Arnav Vaibhav Malawade, Shih-Yuan Yu, Brandon Hsu, Harsimrat Kaeley, Anurag Karra, and Mohammad Abdullah Al Faruque · 2022
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Od-xai: Explainable ai-based semantic object detection for autonomous vehicles
Harsh Mankodiya, Dhairya Jadav, Rajesh Gupta, Sudeep Tanwar, Wei-Chiang Hong, and Ravi Sharma · 2022
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Explainable sparse attention for memory-based trajectory predictors
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, and Alberto Del Bimbo · 2022
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Exploring the effects of meaningful tactile display on perception and preference in automated vehicles
Kimberly D Martinez and Gaojian Huang · 2022
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Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation
Wolfgang Messner · 2022
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Intelligent in-vehicle interaction technologies
Prajval Kumar Murali, Mohsen Kaboli, and Ravinder Dahiya · 2022
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Design for perception-a systematic approach for the design of driving automation systems based on the users’ perception
Fjollë Novakazi, Alexander Eriksson, and Lars-Ola Bligård · 2022
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From spoken thoughts to automated driving commentary: Predicting and explaining intelligent vehicles’ actions
Daniel Omeiza, Sule Anjomshoae, Helena Webb, Marina Jirotka, and Lars Kunze · 2022
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Explaining radar features for detecting spoofing attacks in connected autonomous vehicles
Nidhi Rastogi, Sara Rampazzi, Michael Clifford, Miriam Heller, Matthew Bishop, and Karl Levitt · 2022
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A survey of autonomous driving scenarios and scenario databases
Hongping Ren, Hui Gao, He Chen, and Guangzhen Liu · 2022
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Plant: Explainable planning transformers via object-level representations
Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A Koepke, Zeynep Akata, and Andreas Geiger · 2022
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Ghost on the windshield: Employing a virtual human character to communicate pedestrian acknowledgement and vehicle intention
Alexandros Rouchitsas and Håkan Alm · 2022
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Using human–machine interfaces to convey feedback in automated driving
Emily M Shull, John G Gaspar, Daniel V McGehee, and Rose Schmitt · 2022
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Thirdeye: Attention maps for safe autonomous driving systems
Andrea Stocco, Paulo J Nunes, Marcelo D’Amorim, and Paolo Tonella · 2022
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Ieee standard for transparency of autonomous systems
Alan Winfield, Eleanor Watson, Takashi Egawa, Emily Barwell, Iain Barclay, Serena Booth, Louise A Dennis, Helen Hastie, Ali Hossaini, Naomi Jacobs, et al · 2022
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Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, and Matthieu Cord · 2022
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The effects of transparency and reliability of in-vehicle intelligent agents on driver perception, takeover performance, workload and situation awareness in conditionally automated vehicles
Jing Zang and Myounghoon Jeon · 2022
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Trajectory prediction for autonomous driving using spatial-temporal graph attention transformer
Kunpeng Zhang, Xiaoliang Feng, Lan Wu, and Zhengbing He · 2022
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Lilit Avetisyan, Aditya Deshmukh, X Jessie Yang, and Feng Zhou · 2023
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Feedbacklogs: Recording and incorporating stakeholder feedback into machine learning pipelines
Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, and Umang Bhatt · 2023
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Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning
Eduardo Candela, Olivier Doustaly, Leandro Parada, Felix Feng, Yiannis Demiris, and Panagiotis Angeloudis · 2023
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Xdll: Explained deep learning lidar-based localization and mapping method for self-driving vehicles
Anas Charroud, Karim El Moutaouakil, Vasile Palade, and Ali Yahyaouy · 2023
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Adding visual contextual information to continuous sonification feedback about low-reliability situations in conditionally automated driving: A driving simulator study
Kuan-Ting Chen, Huei-Yen Winnie Chen, and Ann Bisantz · 2023
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Scalability in external communication of automated vehicles: Evaluation and recommendations
Mark Colley, Julian Britten, and Enrico Rukzio · 2023
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On the forces of driver distraction: Explainable predictions for the visual demand of in-vehicle touchscreen interactions
Patrick Ebel, Christoph Lingenfelder, and Andreas Vogelsang · 2023
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Nle-dm: Natural-language explanations for decision making of autonomous driving based on semantic scene understanding
Yuchao Feng, Wei Hua, and Yuxiang Sun · 2023
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Ryan Othniel Kearns · 2023
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Autonomous vehicles for all?
Sakib Mahmud Khan, M Sabbir Salek, Vareva Harris, Gurcan Comert, Eric Morris, and Mashrur Chowdhury · 2023
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Explainable action prediction through self-supervision on scene graphs
Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, and Lars Kunze · 2023
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Textual explanations for automated commentary driving
Marc Alexander Kühn, Daniel Omeiza, and Lars Kunze · 2023
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Interaction effects of pedestrian behavior, smartphone distraction and external communication of automated vehicles on crossing and gaze behavior
Mirjam Lanzer, Ina Koniakowsky, Mark Colley, and Martin Baumann · 2023
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Investigating effects of multimodal explanations using multiple in-vehicle displays for takeover request in conditionally automated driving
Sangwon Lee, Jeonguk Hong, Gyewon Jeon, Jeongmin Jo, Sanghyeok Boo, Hwiseong Kim, Seoyoon Jung, Jieun Park, Inheon Choi, and Sangyeon Kim · 2023
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A literature review on additional semantic information conveyed from driving automation systems to drivers through advanced in-vehicle hmi just before, during, and right after takeover request
Weimin Liu, Qingkun Li, Zhenyuan Wang, Wenjun Wang, Chao Zeng, and Bo Cheng · 2023
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Explainability in ai policies: A critical review of communications, reports, regulations, and standards in the eu, us, and uk
Luca Nannini, Agathe Balayn, and Adam Leon Smith · 2023
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Effects of explanation specificity on passengers in autonomous driving
Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, and Lars Kunze · 2023
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Safety assessment of the interaction between an automated vehicle and a cyclist: a controlled field test
Maria Oskina, Haneen Farah, Peter Morsink, Riender Happee, and Bart van Arem · 2023
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Black is the new orange: how to determine ai liability
Paulo Henrique Padovan, Clarice Marinho Martins, and Chris Reed · 2023
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Humans vs, machines; motorcyclists and car drivers differ in their opinion and trust of self-drive vehicles
Kristen Pammer, Helena Predojevic, and Angus McKerral · 2023
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Robotics at the crossroads: A discussion of ethical considerations, moral implications, and inclusive design
Sabina M Patel, Elizabeth H Lazzara, Elizabeth Phillips, Alex Chaparro, Thomas J Alicia, Jennifer Teves, and Ericka Rovira · 2023
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LINGO-1: Exploring Natural Language for Autonomous Driving — wayve.ai
Rudi Rankin · 2023
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Improving semantic segmentation under hazy weather for autonomous vehicles using explainable artificial intelligence and adaptive dehazing approach
Vani Suthamathi Saravanarajan, Rung-Ching Chen, Cheng-Hsiung Hsieh, and Long-Sheng Chen · 2023
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Don’t fail me! the level 5 autonomous driving information dilemma regarding transparency and user experience
Tobias Schneider, Joana Hois, Alischa Rosenstein, Sandra Metzl, Ansgar RS Gerlicher, Sabiha Ghellal, and Steve Love · 2023
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Modeling and analysis of human-machine mixed traffic flow considering the influence of the trust level toward autonomous vehicles
Lishan Sun, Zeyu Cheng, Dewen Kong, Yan Xu, Shangwu Wen, and Kangyu Zhang · 2023
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Framework for responsible research and innovation — ukri.org
UKRI · 2023
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Waypoint - The official Waymo blog: Driven by Waymo, Designed with Trust — waymo.com
Waymo · 2023
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Tactical-level explanation is not enough: Effect of explaining av’s lane-changing decisions on drivers’ decision-making, trust, and emotional experience
Yiwen Zhang, Wenjia Wang, Xinyan Zhou, Qi Wang, and Xiaohua Sun · 2023
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Keeping in the lane! investigating drivers’ performance handling silent vs. alerted lateral control failures in monotonous partially automated driving
Yiwen Zhang, Xinyan Zhou, Wenjia Wang, Yuanda Hu, and Xiaohua Sun · 2023
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Communication between autonomous vehicles and pedestrians: an experimental study using virtual reality
Symbat Zhanguzhinova, Emese Mako, Attila Borsos, Ágoston Pál Sándor, and Csaba Koren · 2023
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Examining pedestrians’ trust in automated vehicles based on attributes of trust: A qualitative study
Siyuan Zhou, Xu Sun, Qingfeng Wang, Bingjian Liu, and Gary Burnett · 2023
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A survey on multimodal large language models for autonomous driving
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, et al · 2024
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European Commission - Ethics guidelines for trustworthy AI
EC · 2024
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Automated Driving System (ADS) Marker Lamp - SAE International — sae.org, 2019
J3134/201905 · 2024
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Explainable ai for safe and trustworthy autonomous driving: A systematic review
Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, and Stefano V Albrecht · 2024
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Mercedes-Benz debuts turquoise exterior lights to indicate the car is self-driving— techspot.com
Techspot · 2024
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