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While autonomous driving technology has made remarkable strides, data-driven approaches still struggle with complex scenarios due to their limited reasoning capabilities.
P. C. Wason and J. S. B. Evans, “Dual processes in reasoning?,”
1974
Earlier work this paper cites.
G. Hinton and L. Van Der Maaten, “Visualizing data using t-sne journal of machine learning research,”
2008
Earlier work this paper cites.
D. Kahneman, “Fast and slow thinking,”
2011
Earlier work this paper cites.
J. S. B. Evans and K. E. Stanovich, “Dual-process theories of higher cognition: Advancing the debate,”
2013
Earlier work this paper cites.
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun, “Carla: An open urban driving simulator,” in
2017
Earlier work this paper cites.
I. Loshchilov and F. Hutter, “Decoupled weight decay regularization,”
2017
Earlier work this paper cites.
F. Codevilla, E. Santana, A. M. López, and A. Gaidon, “Exploring the limitations of behavior cloning for autonomous driving,” in
2019
Earlier work this paper cites.
D. Chen, B. Zhou, V. Koltun, and P. Krähenbühl, “Learning by cheating,” in
2020
Earlier work this paper cites.
Z. Liu, H. Jiang, H. Tan, and F. Zhao, “An overview of the latest progress and core challenge of autonomous vehicle technologies,” in
2020
Earlier work this paper cites.
K. He, H. Fan, Y. Wu, S. Xie, and R. Girshick, “Momentum contrast for unsupervised visual representation learning,” in
2020
Earlier work this paper cites.
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom, “nuscenes: A multimodal dataset for autonomous driving,” in
2020
Earlier work this paper cites.
T. Yin, X. Zhou, and P. Krahenbuhl, “Center-based 3d object detection and tracking,” in
2021
Earlier work this paper cites.
K. Chitta, A. Prakash, and A. Geiger, “Neat: Neural attention fields for end-to-end autonomous driving,” in
2021
Earlier work this paper cites.
Z. Zhang, A. Liniger, D. Dai, F. Yu, and L. Van Gool, “End-to-end urban driving by imitating a reinforcement learning coach,” in
2021
Earlier work this paper cites.
D. Chen, V. Koltun, and P. Krähenbühl, “Learning to drive from a world on rails,” in
2021
Earlier work this paper cites.
Z. Li, W. Wang, H. Li, E. Xie, C. Sima, T. Lu, Y. Qiao, and J. Dai, “Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,” in
2022
Earlier work this paper cites.
J.-B. Alayrac, J. Donahue, P. Luc, A. Miech, I. Barr, Y. Hasson, K. Lenc, A. Mensch, K. Millican, M. Reynolds, R. Ring, E. Rutherford, S. Cabi, T. Han, Z. Gong, S. Samangooei, M. Monteiro, J. Menick, S. Borgeaud, A. Brock, A. Nematzadeh, S. Sharifzadeh, M. Binkowski, R. Barreira, O. Vinyals, A. Zisserman, and K. Simonyan, “Flamingo: a visual language model for few-shot learning,”
2022
Earlier work this paper cites.
2022
Earlier work this paper cites.
K. Chitta, A. Prakash, B. Jaeger, Z. Yu, K. Renz, and A. Geiger, “Transfuser: Imitation with transformer-based sensor fusion for autonomous driving,”
2022
Earlier work this paper cites.
P. Wu, X. Jia, L. Chen, J. Yan, H. Li, and Y. Qiao, “Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline,”
2022
Earlier work this paper cites.
Q. Zhang, Z. Peng, and B. Zhou, “Learning to drive by watching youtube videos: Action-conditioned contrastive policy pretraining,”
2022
Earlier work this paper cites.
Z. Liu, H. Tang, A. Amini, X. Yang, H. Mao, D. L. Rus, and S. Han, “Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,” in
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
J. Mao, J. Ye, Y. Qian, M. Pavone, and Y. Wang, “A language agent for autonomous driving,”
2023
Earlier work this paper cites.
2023
Cited alongside, same era.
L. Wen, D. Fu, S. Mao, P. Cai, M. Dou, Y. Li, and Y. Qiao, “Limsim: A long-term interactive multi-scenario traffic simulator,” 2023
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
W.-L. Chiang, Z. Li, Z. Lin, Y. Sheng, Z. Wu, H. Zhang, L. Zheng, S. Zhuang, Y. Zhuang, J. E. Gonzalez, I. Stoica, and E. P. Xing, “Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,” March 2023
F. Dou, J. Ye, G. Yuan, Q. Lu, W. Niu, H. Sun, L. Guan, G. Lu, G. Mai, N. Liu,
2023
Later among the works it cites.
B. Zhang, J. Zhu, and H. Su, “Toward the third generation artificial intelligence,”
2023
Later among the works it cites.
Z. Xi, W. Chen, X. Guo, W. He, Y. Ding, B. Hong, M. Zhang, J. Wang, S. Jin, E. Zhou,
2023
Later among the works it cites.
Y. Liu, F. Wu, Z. Liu, K. Wang, F. Wang, and X. Qu, “Can language models be used for real-world urban-delivery route optimization?,”
2023
Later among the works it cites.
Wayve, “Lingo-1: Exploring natural language for autonomous driving,” 2023
2023
Later among the works it cites.
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2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
W. Wang, Q. Lv, W. Yu, W. Hong, J. Qi, Y. Wang, J. Ji, Z. Yang, L. Zhao, X. Song,
2023
Cited alongside, same era.
2023
Later among the works it cites.
X. Li, Y. Bai, P. Cai, L. Wen, D. Fu, B. Zhang, X. Yang, X. Cai, T. Ma, J. Guo,
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
X. Yang, L. Wen, Y. Ma, J. Mei, X. Li, T. Wei, W. Lei, D. Fu, P. Cai, M. Dou, B. Shi, L. He, Y. Liu, and Y. Qiao, “Drivearena: A closed-loop generative simulation platform for autonomous driving,” 2024
2024
Later among the works it cites.
H. Liu, C. Li, Q. Wu, and Y. J. Lee, “Visual instruction tuning,”
2024
Later among the works it cites.
Z. Chen, J. Wu, W. Wang, W. Su, G. Chen, S. Xing, M. Zhong, Q. Zhang, X. Zhu, L. Lu,
2024
Later among the works it cites.
J. Zhang, J. Huang, S. Jin, and S. Lu, “Vision-language models for vision tasks: A survey,”
2024
Later among the works it cites.
D. Fu, X. Li, L. Wen, M. Dou, P. Cai, B. Shi, and Y. Qiao, “Drive like a human: Rethinking autonomous driving with large language models,” in
2024
Later among the works it cites.
L. Wen, D. Fu, X. Li, X. Cai, T. MA, P. Cai, M. Dou, B. Shi, L. He, and Y. Qiao, “Dilu: A knowledge-driven approach to autonomous driving with large language models,” in
2024
Later among the works it cites.
L. Wen, X. Yang, D. Fu, X. Wang, P. Cai, X. Li, T. MA, Y. Li, L. XU, D. Shang, Z. Zhu, S. Sun, Y. BAI, X. Cai, M. Dou, S. Hu, B. Shi, and Y. Qiao, “On the road with GPT-4v(ision): Explorations of utilizing visual-language model as autonomous driving agent,” in
2024
Later among the works it cites.
2024
Later among the works it cites.
C. Cui, Y. Ma, X. Cao, W. Ye, Y. Zhou, K. Liang, J. Chen, J. Lu, Z. Yang, K.-D. Liao,
2024
Later among the works it cites.
E. Sachdeva, N. Agarwal, S. Chundi, S. Roelofs, J. Li, M. Kochenderfer, C. Choi, and B. Dariush, “Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning,” in
2024
Later among the works it cites.
D. Dauner, M. Hallgarten, T. Li, X. Weng, Z. Huang, Z. Yang, H. Li, I. Gilitschenski, B. Ivanovic, M. Pavone, A. Geiger, and K. Chitta, “Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking,” 2024
2024
Later among the works it cites.
2024
Later among the works it cites.