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Autonomous driving technology, a catalyst for revolutionizing transportation and urban mobility, has the tend to transition from rule-based systems to data-driven strategies.
Congested traffic states in empirical observations and microscopic simulations
Martin Treiber, Ansgar Hennecke, and Dirk Helbing · 2000
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie · 2005
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Evaluating multiple object tracking performance: The clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
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Generative adversarial networks, 2014
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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U-net: Convolutional networks for biomedical image segmentation, 2015
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Cider: Consensus-based image description evaluation, 2015
Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh · 2015
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Spice: Semantic propositional image caption evaluation, 2016
Peter Anderson, Basura Fernando, Mark Johnson, and Stephen Gould · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Variational inference with normalizing flows, 2016
Danilo Jimenez Rezende and Shakir Mohamed · 2016
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End-to-end training of object class detectors for mean average precision, 2017
Paul Henderson and Vittorio Ferrari · 2017
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Airsim: High-fidelity visual and physical simulation for autonomous vehicles, 2017
Shital Shah, Debadeepta Dey, Chris Lovett, and Ashish Kapoor · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 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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An environment for autonomous driving decision-making
Edouard Leurent · 2018
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Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
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Performance evaluation of deep learning networks for semantic segmentation of traffic stereo-pair images
Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri Gordienko, Alexandr Rokovyi, Oleg Alienin, and Sergii Stirenko · 2018
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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 · 2019
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Talk2car: Taking control of your self-driving car
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, and Marie-Francine Moens · 2019
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Grounding human-to-vehicle advice for self-driving vehicles, 2019
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, and John Canny · 2019
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Grounding human-to-vehicle advice for self-driving vehicles
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, and John Canny · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Generalized intersection over union: A metric and a loss for bounding box regression, 2019
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
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Towards accurate generative models of video: A new metric and challenges, 2019
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphael Marinier, Marcin Michalski, and Sylvain Gelly · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Denoising diffusion probabilistic models, 2020
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Pnpnet: End-to-end perception and prediction with tracking in the loop
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, and Raquel Urtasun · 2020
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Perceive, predict, and plan: Safe motion planning through interpretable semantic representations
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, and Raquel Urtasun · 2020
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On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
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Multimodal trajectory prediction conditioned on lane-graph traversals, 2021
Nachiket Deo, Eric M. Wolff, and Oscar Beijbom · 2021
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Large scale interactive motion forecasting for autonomous driving : The waymo open motion dataset, 2021
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov · 2021
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Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking
Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, and Abhinav Valada · 2021
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Gohome: Graph-oriented heatmap output for future motion estimation, 2021
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, and Fabien Moutarde · 2021
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Sim2real in robotics and automation: Applications and challenges
Sebastian Höfer, Kostas Bekris, Ankur Handa, Juan Camilo Gamboa, Melissa Mozifian, Florian Golemo, Chris Atkeson, Dieter Fox, Ken Goldberg, John Leonard, et al · 2021
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Autonomy 2.0: Why is self-driving always 5 years away?
Ashesh Jain, Luca Del Pero, Hugo Grimmett, and Peter Ondruska · 2021
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Ide-net: Interactive driving event and pattern extraction from human data
Xiaosong Jia, Liting Sun, Masayoshi Tomizuka, and Wei Zhan · 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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High-resolution image synthesis with latent diffusion models, 2021
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Sutd-trafficqa: A question answering benchmark and an efficient network for video reasoning over traffic events
Li Xu, He Huang, and Jun Liu · 2021
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Sutd-trafficqa: A question answering benchmark and an efficient network for video reasoning over traffic events, 2021
Li Xu, He Huang, and Jun Liu · 2021
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Center-based 3d object detection and tracking, 2021
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
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Multiple object tracking in recent times: A literature review, 2022
Mk Bashar, Samia Islam, Kashifa Kawaakib Hussain, Md. Bakhtiar Hasan, A. B. M. Ashikur Rahman, and Md. Hasanul Kabir · 2022
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Learning from all vehicles
Dian Chen and Philipp Krähenbühl · 2022
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Towards capturing the temporal dynamics for trajectory prediction: a coarse-to-fine approach
Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, and Yu Qiao · 2022
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Multi-agent trajectory prediction by combining egocentric and allocentric views
Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, and Wei Zhan · 2022
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Auto-encoding variational bayes, 2022
Diederik P Kingma and Max Welling · 2022
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Delving into the devils of bird’s-eye-view perception: A review, evaluation and recipe
Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng, Hao Tian, Enze Xie, Jiangwei Xie, Li Chen, Tianyu Li, Yang Li, Yulu Gao, Xiaosong Jia, Si Liu, Jianping Shi, Dahua Lin, and Yu Qiao · 2022
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation, 2022
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
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Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, and Jifeng Dai · 2022
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Training language models to follow instructions with human feedback, 2022
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe · 2022
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On aliased resizing and surprising subtleties in gan evaluation, 2022
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu · 2022
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Hierarchical text-conditional image generation with clip latents, 2022
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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Motion transformer with global intention localization and local movement refinement
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2022
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Policy pre-training for autonomous driving via self-supervised geometric modeling
Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, and Yu Qiao · 2022
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Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline, 2022
Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, and Yu Qiao · 2022
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Bits: Bi-level imitation for traffic simulation, 2022
Danfei Xu, Yuxiao Chen, Boris Ivanovic, and Marco Pavone · 2022
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Motr: End-to-end multiple-object tracking with transformer
Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2022
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Guided conditional diffusion for controllable traffic simulation, 2022
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, and Marco Pavone · 2022
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Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions, 2023
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, and Randy Goebel · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, et al · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control, 2023
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, and Brianna Zitkovich · 2023
Street-view image generation from a bird’s-eye view layout
Alexander Swerdlow, Runsheng Xu, and Bolei Zhou · 2023
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Evaluation of large language models for decision making in autonomous driving, 2023
Kotaro Tanahashi, Yuichi Inoue, Yu Yamaguchi, Hidetatsu Yaginuma, Daiki Shiotsuka, Hiroyuki Shimatani, Kohei Iwamasa, Yoshiaki Inoue, Takafumi Yamaguchi, Koki Igari, Tsukasa Horinouchi, Kento Tokuhiro, Yugo Tokuchi, and Shunsuke Aoki · 2023
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Domain knowledge distillation from large language model: An empirical study in the autonomous driving domain, 2023
Yun Tang, Antonio A. Bruto da Costa, Jason Zhang, Irvine Patrick, Siddartha Khastgir, and Paul Jennings · 2023
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Llama: Open and efficient foundation language models, 2023
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023
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Is chatgpt a good nlg evaluator? a preliminary study, 2023
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End-to-end autonomous driving: Challenges and frontiers
Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, and Hongyang Li · 2023
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Driving with llms: Fusing object-level vector modality for explainable autonomous driving, 2023
Long Chen, Oleg Sinavski, Jan Hünermann, Alice Karnsund, Andrew James Willmott, Danny Birch, Daniel Maund, and Jamie Shotton · 2023
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Transfuser: Imitation with transformer-based sensor fusion for autonomous driving
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, and Andreas Geiger · 2023
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Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, and Ziran Wang · 2023
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Receive, reason, and react: Drive as you say with large language models in autonomous vehicles
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, and Ziran Wang · 2023
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Large language models for autonomous driving: Real-world experiments, 2023
Can Cui, Zichong Yang, Yupeng Zhou, Yunsheng Ma, Juanwu Lu, and Ziran Wang · 2023
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Parting with misconceptions about learning-based vehicle motion planning
Daniel Dauner, Marcel Hallgarten, Andreas Geiger, and Kashyap Chitta · 2023
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Jiaan Wang, Yunlong Liang, Fandong Meng, Zengkui Sun, Haoxiang Shi, Zhixu Li, Jinan Xu, Jianfeng Qu, and Jie Zhou · 2023
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Lening Wang, Han Jiang, Pinlong Cai, Daocheng Fu, Tianqi Wang, Zhiyong Cui, Yilong Ren, Haiyang Yu, Xuesong Wang, and Yinhai Wang · 2023
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Chatgpt as your vehicle co-pilot: An initial attempt
Shiyi Wang, Yuxuan Zhu, Zhiheng Li, Yutong Wang, Li Li, and Zhengbing He · 2023
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Wenhai Wang, Jiangwei Xie, ChuanYang Hu, Haoming Zou, Jianan Fan, Wenwen Tong, Yang Wen, Silei Wu, Hanming Deng, Zhiqi Li, et al · 2023
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Drivedreamer: Towards real-world-driven world models for autonomous driving
Xiaofeng Wang, Zheng Zhu, Guan Huang, Xinze Chen, and Jiwen Lu · 2023
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Empowering autonomous driving with large language models: A safety perspective, 2023
Yixuan Wang, Ruochen Jiao, Chengtian Lang, Sinong Simon Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, and Qi Zhu · 2023
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Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving, 2023
Yuqi Wang, Jiawei He, Lue Fan, Hongxin Li, Yuntao Chen, and Zhaoxiang Zhang · 2023
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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
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On the road with gpt-4v(ision): Early explorations of visual-language model on autonomous driving, 2023
Licheng Wen, Xuemeng Yang, Daocheng Fu, Xiaofeng Wang, Pinlong Cai, Xin Li, Tao Ma, Yingxuan Li, Linran Xu, Dengke Shang, Zheng Zhu, Shaoyan Sun, Yeqi Bai, Xinyu Cai, Min Dou, Shuanglu Hu, Botian Shi, and Yu Qiao · 2023
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Language prompt for autonomous driving, 2023
Dongming Wu, Wencheng Han, Tiancai Wang, Yingfei Liu, Xiangyu Zhang, and Jianbing Shen · 2023
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Drivegpt4: Interpretable end-to-end autonomous driving via large language model, 2023
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee. K. Wong, Zhenguo Li, and Hengshuang Zhao · 2023
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Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, and Kaicheng Yu · 2023
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Human-centric autonomous systems with llms for user command reasoning, 2023
Yi Yang, Qingwen Zhang, Ci Li, Daniel Simões Marta, Nazre Batool, and John Folkesson · 2023
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The dawn of lmms: Preliminary explorations with gpt-4v(ision), 2023
Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, and Lijuan Wang · 2023
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Video-llama: An instruction-tuned audio-visual language model for video understanding
Hang Zhang, Xin Li, and Lidong Bing · 2023
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Trafficgpt: Viewing, processing and interacting with traffic foundation models
Siyao Zhang, Daocheng Fu, Zhao Zhang, Bin Yu, and Pinlong Cai · 2023
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Language-guided traffic simulation via scene-level diffusion, 2023
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, and Baishakhi Ray · 2023
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Hybrid reasoning based on large language models for autonomous car driving
Mehdi Azarafza, Mojtaba Nayyeri, Charles Steinmetz, Steffen Staab, and Achim Rettberg · 2024
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Asynchronous large language model enhanced planner for autonomous driving
Yuan Chen, Zi-han Ding, Ziqin Wang, Yan Wang, Lijun Zhang, and Si Liu · 2024
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Holistic autonomous driving understanding by bird’s-eye-view injected multi-modal large models
Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, and Xiaomeng Li · 2024
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Limsim++: A closed-loop platform for deploying multimodal llms in autonomous driving
Daocheng Fu, Wenjie Lei, Licheng Wen, Pinlong Cai, Song Mao, Min Dou, Botian Shi, and Yu Qiao · 2024
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Akshay Gopalkrishnan, Ross Greer, and Mohan Trivedi · 2024
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Dme-driver: Integrating human decision logic and 3d scene perception in autonomous driving
Wencheng Han, Dongqian Guo, Cheng-Zhong Xu, and Jianbing Shen · 2024
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Revolve: Reward evolution with large language models for autonomous driving
Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, and Pedro Zuidberg Dos Martires · 2024
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Agentscodriver: Large language model empowered collaborative driving with lifelong learning
Senkang Hu, Zhengru Fang, Zihan Fang, Xianhao Chen, and Yuguang Fang · 2024
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Langprop: A code optimization framework using large language models applied to driving
Shu Ishida, Gianluca Corrado, George Fedoseev, Hudson Yeo, Lloyd Russell, Jamie Shotton, Joao F. Henriques, and Anthony Hu · 2024
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Amp: Autoregressive motion prediction revisited with next token prediction for autonomous driving
Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, and Junchi Yan · 2024
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Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving
Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, and Junchi Yan · 2024
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Koma: Knowledge-driven multi-agent framework for autonomous driving with large language models
Kemou Jiang, Xuan Cai, Zhiyong Cui, Aoyong Li, Yilong Ren, Haiyang Yu, Hao Yang, Daocheng Fu, Licheng Wen, and Pinlong Cai · 2024
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A superalignment framework in autonomous driving with large language models
Xiangrui Kong, Thomas Braunl, Marco Fahmi, and Yue Wang · 2024
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Driving everywhere with large language model policy adaptation
Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, and Marco Pavone · 2024
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Think2drive: Efficient reinforcement learning by thinking in latent world model for quasi-realistic autonomous driving (in carla-v2)
Qifeng Li, Xiaosong Jia, Shaobo Wang, and Junchi Yan · 2024
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Aide: An automatic data engine for object detection in autonomous driving
Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, and Manmohan Chandraker · 2024
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Activead: Planning-oriented active learning for end-to-end autonomous driving, 2024
Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, and Junchi Yan · 2024
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Engineering safety requirements for autonomous driving with large language models, 2024
Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Torner, Hakan Sivencrona, and Christian Berger · 2024
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Vlp: Vision language planning for autonomous driving
Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro G Allievi, Senem Velipasalar, and Liu Ren · 2024
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Lego-drive: Language-enhanced goal-oriented closed-loop end-to-end autonomous driving
Pranjal Paul, Anant Garg, Tushar Choudhary, Arun Kumar Singh, and K Madhava Krishna · 2024
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Lc-llm: Explainable lane-change intention and trajectory predictions with large language models
Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu, Kehua Chen, Xuesong Wang, Yinhai Wang, et al · 2024
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Probing multimodal llms as world models for driving
Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, and Daniela Rus · 2024
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Zuoyin Tang, Jianhua He, Dashuai Pei, Kezhong Liu, and Tao Gao · 2024
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Drivevlm: The convergence of autonomous driving and large vision-language models
Xiaoyu Tian, Junru Gu, Bailin Li, Yicheng Liu, Chenxu Hu, Yang Wang, Kun Zhan, Peng Jia, Xianpeng Lang, and Hang Zhao · 2024
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Llm-assisted light: Leveraging large language model capabilities for human-mimetic traffic signal control in complex urban environments, 2024
Maonan Wang, Aoyu Pang, Yuheng Kan, Man-On Pun, Chung Shue Chen, and Bo Huang · 2024
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Maonan Wang, Aoyu Pang, Yuheng Kan, Man-On Pun, Chung Shue Chen, and Bo Huang · 2024
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Transgpt: Multi-modal generative pre-trained transformer for transportation, 2024
Peng Wang, Xiang Wei, Fangxu Hu, and Wenjuan Han · 2024
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Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, and Jose M Alvarez · 2024
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Editable scene simulation for autonomous driving via collaborative llm-agents
Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, and Yanfeng Wang · 2024
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Generalized predictive model for autonomous driving
Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, et al · 2024
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Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, and Matthew Gadd · 2024
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Chatscene: Knowledge-enabled safety-critical scenario generation for autonomous vehicles
Jiawei Zhang, Chejian Xu, and Bo Li · 2024
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Drivedreamer-2: Llm-enhanced world models for diverse driving video generation
Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Xinze Chen, Guan Huang, Xiaoyi Bao, and Xingang Wang · 2024
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Large language models powered context-aware motion prediction
Xiaoji Zheng, Lixiu Wu, Zhijie Yan, Yuanrong Tang, Hao Zhao, Chen Zhong, Bokui Chen, and Jiangtao Gong · 2024
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Planagent: A multi-modal large language agent for closed-loop vehicle motion planning
Yupeng Zheng, Zebin Xing, Qichao Zhang, Bu Jin, Pengfei Li, Yuhang Zheng, Zhongpu Xia, Kun Zhan, Xianpeng Lang, Yaran Chen, et al · 2024
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Embodied understanding of driving scenarios
Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, and Hongyang Li · 2024
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