Fetching the paper…
Reading the bibliography…
Autonomous Vehicles (AVs) rely on sophisticated Autonomous Driving Systems (ADSs) to provide passengers a satisfying and safe journey.
Formalising traffic rules for accountability of autonomous vehicles. In 2015 IEEE 18th international conference on intelligent transportation systems . IEEE, 1658–1665
Albert Rizaldi and Matthias Althoff. 2015 · 2015
Earlier work this paper cites.
Autonomous vehicles: disengagements, accidents and reaction times
Vinayak V Dixit, Sai Chand, and Divya J Nair. 2016 · 2016
Earlier work this paper cites.
CommonRoad: Composable benchmarks for motion planning on roads. In 2017 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 719–726
Matthias Althoff, Markus Koschi, and Stefanie Manzinger. 2017 · 2017
Earlier work this paper cites.
CARLA: An open urban driving simulator. In Conference on robot learning . PMLR, 1–16
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun. 2017 · 2017
Earlier work this paper cites.
Examining accident reports involving autonomous vehicles in California
Francesca M Favarò, Nazanin Nader, Sky O Eurich, Michelle Tripp, and Naresh Varadaraju. 2017 · 2017
Earlier work this paper cites.
Formalising and monitoring traffic rules for autonomous vehicles in Isabelle/HOL. In Integrated Formal Methods: 13th International Conference, IFM 2017, Turin, Italy, September 20-22, 2017, Proceedings 13 . Springer, 50–66
Albert Rizaldi, Jonas Keinholz, Monika Huber, Jochen Feldle, Fabian Immler, Matthias Althoff, Eric Hilgendorf, and Tobias Nipkow. 2017 · 2017
Earlier work this paper cites.
Learning to navigate in cities without a map
Piotr Mirowski, Matt Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Andrew Zisserman, Raia Hadsell, et al · 2018
Earlier work this paper cites.
Liability, ethics, and culture-aware behavior specification using rulebooks. In 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 8536–8542
Andrea Censi, Konstantin Slutsky, Tichakorn Wongpiromsarn, Dmitry Yershov, Scott Pendleton, James Fu, and Emilio Frazzoli. 2019 · 2019
Earlier work this paper cites.
Touchdown: Natural language navigation and spatial reasoning in visual street environments. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12538–12547
Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, and Yoav Artzi. 2019 · 2019
Earlier work this paper cites.
Talk2car: Taking control of your self-driving car
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, and Marie-Francine Moens. 2019 · 2019
Earlier work this paper cites.
Verifai: A toolkit for the formal design and analysis of artificial intelligence-based systems. In International Conference on Computer Aided Verification . Springer, 432–442
Tommaso Dreossi, Daniel J Fremont, Shromona Ghosh, Edward Kim, Hadi Ravanbakhsh, Marcell Vazquez-Chanlatte, and Sanjit A Seshia. 2019 · 2019
Earlier work this paper cites.
Scenic: a language for scenario specification and scene generation. In Proceedings of the 40th ACM SIGPLAN conference on programming language design and implementation . 63–78
Daniel J Fremont, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L Sangiovanni-Vincentelli, and Sanjit A Seshia. 2019 · 2019
Earlier work this paper cites.
Towards a two-layer framework for verifying autonomous vehicles. In NASA Formal Methods: 11th International Symposium, NFM 2019, Houston, TX, USA, May 7–9, 2019, Proceedings 11 . Springer, 186–203
Rong Gu, Raluca Marinescu, Cristina Seceleanu, and Kristina Lundqvist. 2019 · 2019
Earlier work this paper cites.
Grounding human-to-vehicle advice for self-driving vehicles. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10591–10599
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, and John Canny. 2019 · 2019
Earlier work this paper cites.
GeoScenario: An open DSL for autonomous driving scenario representation. In 2019 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 287–294
Rodrigo Queiroz, Thorsten Berger, and Krzysztof Czarnecki. 2019 · 2019
Earlier work this paper cites.
Talk to the vehicle: Language conditioned autonomous navigation of self driving cars. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 5284–5290
NN Sriram, Tirth Maniar, Jayaganesh Kalyanasundaram, Vineet Gandhi, Brojeshwar Bhowmick, and K Madhava Krishna. 2019 · 2019
Earlier work this paper cites.
Requirements-driven test generation for autonomous vehicles with machine learning components
Cumhur Erkan Tuncali, Georgios Fainekos, Danil Prokhorov, Hisahiro Ito, and James Kapinski. 2019 · 2019
Earlier work this paper cites.
Deepcrashtest: Turning dashcam videos into virtual crash tests for automated driving systems. In 2020 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 11353–11360
Sai Krishna Bashetty, Heni Ben Amor, and Georgios Fainekos. 2020 · 2020
Earlier work this paper cites.
Guardauto: A Decentralized Runtime Protection System for Autonomous Driving
Kun Cheng, Yuan Zhou, Bihuan Chen, Rui Wang, Yuebin Bai, and Yang Liu. 2021 · 2020
Cited alongside, same era.
Safety of the intended driving behavior using rulebooks. In 2020 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 136–143
Anne Collin, Artur Bilka, Scott Pendleton, and Radboud Duintjer Tebbens. 2020 · 2020
Cited alongside, same era.
Formalizing traffic rules for machine interpretability. In 2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS) . IEEE, 1–7
Klemens Esterle, Luis Gressenbuch, and Alois Knoll. 2020 · 2020
Cited alongside, same era.
Assuring the safety of end-to-end learning-based autonomous driving through runtime monitoring. In 2020 23rd Euromicro Conference on Digital System Design (DSD) . IEEE, 476–483
Jörg Grieser, Meng Zhang, Tim Warnecke, and Andreas Rausch. 2020 · 2020
Cited alongside, same era.
Av-fuzzer: Finding safety violations in autonomous driving systems. In 2020 IEEE 31st international symposium on software reliability engineering (ISSRE) . IEEE, 25–36
Gpt-driver: Learning to drive with gpt
Jiageng Mao, Yuxi Qian, Hang Zhao, and Yue Wang. 2023 · 2023
Later among the works it cites.
Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action. In Conference on Robot Learning . PMLR, 492–504
Dhruv Shah, Błażej Osiński, Sergey Levine, et al · 2023
Later among the works it cites.
Llm-assist: Enhancing closed-loop planning with language-based reasoning
SP Sharan, Francesco Pittaluga, Manmohan Chandraker, et al · 2023
Later among the works it cites.
Motion planning for autonomous driving: The state of the art and future perspectives
Siyu Teng, Xuemin Hu, Peng Deng, Bai Li, Yuchen Li, Yunfeng Ai, Dongsheng Yang, Lingxi Li, Zhe Xuanyuan, Fenghua Zhu, et al · 2023
Later among the works it cites.
Chatgpt as your vehicle co-pilot: An initial attempt
Shiyi Wang, Yuxuan Zhu, Zhiheng Li, Yutong Wang, Li Li, and Zhengbing He. 2023 · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, and Ravishankar Iyer. 2020 · 2020
Cited alongside, same era.
Formalization of interstate traffic rules in temporal logic. In 2020 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 752–759
Sebastian Maierhofer, Anna-Katharina Rettinger, Eva Charlotte Mayer, and Matthias Althoff. 2020 · 2020
Cited alongside, same era.
Conditional Driving from Natural Language Instructions. In Proceedings of the Conference on Robot Learning (Proceedings of Machine Learning Research, Vol. 100) , Leslie Pack Kaelbling, Danica Kragic, and Komei Sugiura (Eds.). PMLR, 540–551
Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, and Dieter Fox. 2020 · 2020
Cited alongside, same era.
Lgsvl simulator: A high fidelity simulator for autonomous driving. In 2020 IEEE 23rd International conference on intelligent transportation systems (ITSC) . IEEE, 1–6
Guodong Rong, Byung Hyun Shin, Hadi Tabatabaee, Qiang Lu, Steve Lemke, Mārtiņš Možeiko, Eric Boise, Geehoon Uhm, Mark Gerow, Shalin Mehta, et al · 2020
Cited alongside, same era.
Formal Runtime Monitoring Approaches for Autonomous Vehicles.. In OVERLAY . 89–94
Saumya Shankar, VR Ujwal, Srinivas Pinisetty, and Partha S Roop. 2020 · 2020
Cited alongside, same era.
A survey of end-to-end driving: Architectures and training methods
Ardi Tampuu, Tambet Matiisen, Maksym Semikin, Dmytro Fishman, and Naveed Muhammad. 2020 · 2020
Cited alongside, same era.
Learning transferable visual models from natural language supervision. In International conference on machine learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . 489–502
Raphael Schumann and Stefan Riezler. 2021 · 2021
Cited alongside, same era.
Later among the works it cites.
Dilu: A knowledge-driven approach to autonomous driving with large language models
Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, and Yu Qiao. 2023 · 2023
Later among the works it cites.
Specification-Based Autonomous Driving System Testing
Yuan Zhou, Yang Sun, Yun Tang, Yuqi Chen, Jun Sun, Christopher M. Poskitt, Yang Liu, and Zijiang Yang. 2023 · 2023
Later among the works it cites.
In good weather conditions, you’re sometimes allowed to go 10 km/h faster in Madeira
2021 · 2024
Closest in time.
Autoware.AI
Autoware.AI. 2024 · 2024
Closest in time.
Apollo 9.0
Baidu. 2023 · 2024
Closest in time.
Apollo Studio
Baidu. 2024 · 2024
Closest in time.
Exclusive: A Waymo One Riderś Experiences Highlight Autonomous Rideshareś Shortcomings
DAN ROBITZSKI. 2019 · 2024
Closest in time.
Drive like a human: Rethinking autonomous driving with large language models. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision . 910–919
Daocheng Fu, Xin Li, Licheng Wen, Min Dou, Pinlong Cai, Botian Shi, and Yu Qiao. 2024 · 2024
Closest in time.
CALIFORNIA DRIVER’S HANDBOOK
California. Department of Motor Vehicles. 2024 · 2024
Closest in time.
REDriver: Runtime Enforcement for Autonomous Vehicles
Yang Sun, Christopher M Poskitt, Xiaodong Zhang, and Jun Sun. 2024 · 2024
Closest in time.
ANother Tool for Language Recognition
Terence Parr. 2024 · 2024
Closest in time.
PUBLIC PERCEPTIONS: AUTONOMOUS VEHICLES
The Institution of Mechanical Engineers. 2023 · 2024
Closest in time.