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Adapting driving behavior to new environments, customs, and laws is a long-standing problem in autonomous driving, precluding the widespread deployment of autonomous vehicles (AVs).
Road accidents and tourism: the case of the balearic islands (spain)
Jaume Rosselló and Oscar Saenz-de Miera · 2011
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Effects of movement speed and predictability in human–robot collaboration
Markus Koppenborg, Peter Nickel, Birgit Naber, Andy Lungfiel, and Michael Huelke · 2017
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Plan explicability and predictability for robot task planning
Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo, and Subbarao Kambhampati · 2017
Earlier work this paper cites.
Scaling out-of-distribution detection for real-world settings
Dan Hendrycks, Steven Basart, Mantas Mazeika, Mohammadreza Mostajabi, Jacob Steinhardt, and Dawn Song · 2019
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Robustness to out-of-distribution inputs via task-aware generative uncertainty
Rowan McAllister, Gregory Kahn, Jeff Clune, and Sergey Levine · 2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Formalizing traffic rules for machine interpretability
Klemens Esterle, Luis Gressenbuch, and Alois Knoll · 2020
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Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
Angelos Filos, Panagiotis Tigkas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, and Yarin Gal · 2020
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Intention-aware motion planning with road rules
Jesper Karlsson and Jana Tumova · 2020
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Formalization of interstate traffic rules in temporal logic
Sebastian Maierhofer, Anna-Katharina Rettinger, Eva Charlotte Mayer, and Matthias Althoff · 2020
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nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles
Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric Wolff, Alex Lang, Luke Fletcher, Oscar Beijbom, and Sammy Omari · 2021
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Rule-based optimal control for autonomous driving
Wei Xiao, Noushin Mehdipour, Anne Collin, Amitai Y Bin-Nun, Emilio Frazzoli, Radboud Duintjer Tebbens, and Calin Belta · 2021
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Vista 2.0: An open, data-driven simulator for multimodal sensing and policy learning for autonomous vehicles
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, and Daniela Rus · 2022
Cited alongside, same era.
Task-relevant failure detection for trajectory predictors in autonomous vehicles
Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, and Marco Pavone · 2022
Cited alongside, same era.
St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning
Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, and Dacheng Tao · 2022
Cited alongside, same era.
Code as policies: Language model programs for embodied control
Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, and Andy Zeng · 2022
Cited alongside, same era.
Legal compliance checking of autonomous driving with formalized traffic rule exceptions
Expanding the deployment envelope of behavior prediction via adaptive meta-learning
Boris Ivanovic, James Harrison, and Marco Pavone · 2023
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Interactive task planning with language models
Boyi Li, Philipp Wu, Pieter Abbeel, and Jitendra Malik · 2023
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GPT-Driver: Learning to drive with GPT
Jiageng Mao, Yuxi Qian, Hang Zhao, and Yue Wang · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Covid-19, tourism and road traffic accidents: Evidence from greece
Andreas Psarras, Theodore Panagiotidis, and Andreas Andronikidis · 2023
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Kumar Manas and Adrian Paschke · 2022
Cited alongside, same era.
Robust traffic rules and knowledge representation for conflict resolution in autonomous driving
Kumar Manas, Stefan Zwicklbauer, and Adrian Paschke · 2022
Cited alongside, same era.
Receding horizon planning with rule hierarchies for autonomous vehicles
Sushant Veer, Karen Leung, Ryan Cosner, Yuxiao Chen, Peter Karkus, and Marco Pavone · 2022
Cited alongside, same era.
PaLM-E: An embodied multimodal language model
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, and Pete Florence · 2023
Cited alongside, same era.
Video language planning, 2023
Yilun Du, Mengjiao Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Kaelbling, Andy Zeng, and Jonathan Tompson · 2023
Cited alongside, same era.
Semantic anomaly detection with large language models
Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa AD Nesnas, and Marco Pavone · 2023
Cited alongside, same era.
Interpretable self-aware neural networks for robust trajectory prediction
Masha Itkina and Mykel Kochenderfer · 2023
Cited alongside, same era.
Right turn on red in staten island
New York City Department of Transportation
Cited in the paper.
Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, and Benjamin Sapp · 2023
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Australian tourist charged with manslaughter in wrong-way crash that killed two La Honda residents
Bay City News Service and Embarcadero Staff · 2023
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Multi-predictor fusion: Combining learning-based and rule-based trajectory predictors
Sushant Veer, Apoorva Sharma, and Marco Pavone · 2023
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Drive anywhere: Generalizable end-to-end autonomous driving with multi-modal foundation models
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, and Daniela Rus · 2023
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Lingo-1: Exploring natural language for autonomous driving
Wayve · 2023
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Drivegpt4: Interpretable end-to-end autonomous driving via large language model
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kenneth KY Wong, Zhenguo Li, and Hengshuang Zhao · 2023
Later among the works it cites.