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Autonomous driving has the potential to set the stage for more efficient future mobility, requiring the research domain to establish trust through safe, reliable and transparent driving.
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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 Proc. ICRA
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H. Shao, L. Wang, R. Chen, H. Li, and Y. Liu, “Safety-enhanced autonomous driving using interpretable sensor fusion transformer,” in Poc. CoRL
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J. Li, D. Li, S. Savarese, and S. Hoi, “Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,” in Proc. ICML
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2023
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L. Chen, P. Wu, K. Chitta, B. Jaeger, A. Geiger, and H. Li, “End-to-end autonomous driving: Challenges and frontiers,” IEEE TPAMI
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2024
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X. Ding, J. Han, H. Xu, X. Liang, W. Zhang, and X. Li, “Holistic autonomous driving understanding by bird’s-eye-view injected multi-modal large models,” in Proc. IEEE CVF
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C. Sima, K. Renz, K. Chitta, L. Chen, H. Zhang, C. Xie, J. Beißwenger, P. Luo, A. Geiger, and H. Li, “Drivelm: Driving with graph visual question answering,” in Proc. ECCV
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Z. Xu, Y. Zhang, E. Xie, Z. Zhao, Y. Guo, K.-Y. K. Wong, Z. Li, and H. Zhao, “Drivegpt4: Interpretable end-to-end autonomous driving via large language model,” IEEE RA-L
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2024
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2024
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C. Yuan, Z. Zhang, J. Sun, S. Sun, Z. Huang, C. D. W. Lee, D. Li, Y. Han, A. Wong, K. P. Tee, et al
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X. Weng, B. Ivanovic, Y. Wang, Y. Wang, and M. Pavone, “Para-drive: Parallelized architecture for real-time autonomous driving,” in Proc. IEEE CVF
2024
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H. Shao, Y. Hu, L. Wang, G. Song, S. L. Waslander, Y. Liu, and H. Li, “Lmdrive: Closed-loop end-to-end driving with large language models,” in Proc. IEEE CVPR
2024
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Z. Li, W. Wang, H. Li, E. Xie, C. Sima, T. Lu, Q. Yu, and J. Dai, “Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers,” IEEE TPAMI
2024
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M. Hallgarten, J. Zapata, M. Stoll, K. Renz, and A. Zell, “Can vehicle motion planning generalize to realistic long-tail scenarios?,” in Proc. IEEE/RSJ IROS
2024
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2024
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2024
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2024
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2024
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T. Choudhary, V. Dewangan, S. Chandhok, S. Priyadarshan, A. Jain, A. K. Singh, S. Srivastava, K. M. Jatavallabhula, and K. M. Krishna, “Talk2bev: Language-enhanced bird’s-eye view maps for autonomous driving,” in Proc. ICRA
2024
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2024
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X. Tian, J. Gu, B. Li, Y. Liu, Y. Wang, Z. Zhao, K. Zhan, P. Jia, X. Lang, and H. Zhao, “Drivevlm: The convergence of autonomous driving and large vision-language models,” in CoRL
2025
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