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The fusion of human-centric design and artificial intelligence (AI) capabilities has opened up new possibilities for next-generation autonomous vehicles that go beyond transportation.
2017
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E. Leurent, “An environment for autonomous driving decision-making,” https://github.com/eleurent/highway-env , 2018
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Z. Wang, Y. Bian, S. E. Shladover, G. Wu, S. E. Li, and M. J. Barth, “A survey on cooperative longitudinal motion control of multiple connected and automated vehicles,” IEEE Intelligent Transportation Systems Magazine , vol. 12, no. 1, pp. 4–24, 2020
2020
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E. M. Bender and A. Koller, “Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Online: Association for Computational Linguistics, 2020, pp. 5185–5198. [Online]. Available: https://www.aclweb.org/anthology/2020.acl-main.463
2020
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N. Stiennon, L. Ouyang, J. Wu, D. Ziegler, R. Lowe, C. Voss, A. Radford, D. Amodei, and P. F. Christiano, “Learning to summarize with human feedback,” in NeurIPS , vol. 33, 2020, pp. 3008–3021
2020
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B. Lester, R. Al-Rfou, and N. Constant, “The Power of Scale for Parameter-Efficient Prompt Tuning,” in EMNLP , 2021
2021
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G. Li, L. Yang, S. Li, X. Luo, X. Qu, and P. Green, “Human-like decision making of artificial drivers in intelligent transportation systems: An end-to-end driving behavior prediction approach,” IEEE Intelligent Transportation Systems Magazine , vol. 14, no. 6, pp. 188–205, 2022
2022
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2022
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E. J. Hu, Y. Shen, P. Wallis, Z. Allen-Zhu, Y. Li, S. Wang, L. Wang, and W. Chen, “LoRA: Low-Rank Adaptation of Large Language Models,” in ICLR , 2022
2022
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L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray, J. Schulman, J. Hilton, F. Kelton, L. Miller, M. Simens, A. Askell, P. Welinder, P. F. Christiano, J. Leike, and R. Lowe, “Training language models to follow instructions with human feedback,” in NeurIPS , vol. 35, 2022, pp. 27 730–27 744
2022
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2022
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T. Kojima, S. S. Gu, M. Reid, Y. Matsuo, and Y. Iwasawa, “Large Language Models are Zero-Shot Reasoners,” in NeurIPS , vol. 35, 2022, pp. 22 199–22 213
2022
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J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E. Chi, Q. Le, and D. Zhou, “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,” in NeurIPS , 2022
2022
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J. J. Nay, “Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans,” Northwestern Journal of Technology and Intellectual Property , vol. 20, no. 3, pp. 309–392, 2022. [Online]. Available: https://heinonline.org/HOL/P?h=hein.journals/nwteintp20&i=282
2022
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2022
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K. Zhao, L. Liu, Y. Meng, H. Liu, and Q. Gu, “3d detection for occluded vehicles from point clouds,” IEEE Intelligent Transportation Systems Magazine , vol. 14, no. 5, pp. 59–71, 2022
2022
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X. Tang, Z. Zhang, and Y. Qin, “On-road object detection and tracking based on radar and vision fusion: A review,” IEEE Intelligent Transportation Systems Magazine , vol. 14, no. 5, pp. 103–128, 2022
2022
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L. Gao, A. Madaan, S. Zhou, U. Alon, P. Liu, Y. Yang, J. Callan, and G. Neubig, “PAL: Program-aided Language Models,” in ICML , 2023
2023
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C. Liu and W. Zhang, “Learning the driver acceleration/deceleration behavior under high-speed environments from naturalistic driving data,” IEEE Intelligent Transportation Systems Magazine , vol. 14, no. 3, pp. 78–91, 2022
2022
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H. Gao, C. Hu, G. Xie, and C. Han, “Discretionary cut-in driving behavior risk assessment based on naturalistic driving data,” IEEE Intelligent Transportation Systems Magazine , vol. 14, no. 3, pp. 29–40, 2022
2022
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M. Z. Bjelica and B. Mrazovac, “Reliability of self-driving cars: When can we remove the safety driver?” IEEE Intelligent Transportation Systems Magazine , vol. 15, no. 4, pp. 46–54, 2023
2023
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B. Mrazovac and M. Z. Bjelica, “Human-centric role in self-driving vehicles: Can human driving perception change the flavor of safety features?” IEEE Intelligent Transportation Systems Magazine , vol. 15, no. 1, pp. 117–125, 2023
2023
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Z. Fu, H. Yang, A. M.-C. So, W. Lam, L. Bing, and N. Collier, “On the Effectiveness of Parameter-Efficient Fine-Tuning,” in AAAI , vol. 37, Jun. 2023, pp. 12 799–12 807, number: 11
2023
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S. Yao, J. Zhao, D. Yu, N. Du, I. Shafran, K. Narasimhan, and Y. Cao, “ReAct: Synergizing Reasoning and Acting in Language Models,” in ICLR , 2023
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H. Lyu, Z. Shao, T. Cheng, Y. Yin, and X. Gao, “Sea-surface object detection based on electro-optical sensors: A review,” IEEE Intelligent Transportation Systems Magazine , vol. 15, no. 2, pp. 190–216, 2023
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C. Cui, Y. Ma, J. Lu, and Z. Wang, “Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion,” IEEE International Conference on Intelligent Transportation Systems (ITSC) , 2023
2023
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