| A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting P Cai, Y Wang, G Lu, P Chen, C Ding, J Sun Transportation Research Part C: Emerging Technologies 62, 21-34, 2016 | 501 | 2016 |
| How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites Z Chen, W Wang, H Tian, S Ye, Z Gao, E Cui, W Tong, K Hu, J Luo, Z Ma, ... Science China Information Sciences 67 (12), 220101, 2024 | 399 | 2024 |
| Drive like a human: Rethinking autonomous driving with large language models D Fu, X Li, L Wen, M Dou, P Cai, B Shi, Y Qiao 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops …, 2024 | 167 | 2024 |
| Dilu: A knowledge-driven approach to autonomous driving with large language models L Wen, D Fu, X Li, X Cai, T Ma, P Cai, M Dou, B Shi, L He, Y Qiao The Twelfth International Conference on Learning Representations., 2023 | 162 | 2023 |
| Cooperative autonomous traffic organization method for connected automated vehicles in multi-intersection road networks Y Wang, P Cai, G Lu Transportation research part C: emerging technologies 111, 458-476, 2020 | 116 | 2020 |
| On the road with gpt-4v (ision): Explorations of utilizing visual-language model as autonomous driving agent L Wen, X Yang, D Fu, X Wang, P Cai, X Li, MA Tao, Y Li, XU Linran, ... ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024 | 89* | 2024 |
| Trafficgpt: Viewing, processing and interacting with traffic foundation models S Zhang, D Fu, W Liang, Z Zhang, B Yu, P Cai, B Yao Transport Policy 150, 95-105, 2024 | 71 | 2024 |
| Towards knowledge-driven autonomous driving X Li, Y Bai, P Cai, L Wen, D Fu, B Zhang, X Yang, X Cai, T Ma, J Guo, ... arXiv preprint arXiv:2312.04316, 2023 | 33 | 2023 |
| LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving D Fu, W Lei, L Wen, P Cai, S Mao, M Dou, B Shi, Y Qiao IEEE Intelligent Vehicles Symposium (IV), 2024 | 24 | 2024 |
| Accidentgpt: Accident analysis and prevention from v2x environmental perception with multi-modal large model L Wang, Y Ren, H Jiang, P Cai, D Fu, T Wang, Z Cui, H Yu, X Wang, ... arXiv preprint arXiv:2312.13156, 2023 | 20 | 2023 |
| Tunable and transferable RBF model for short-term traffic forecasting P Cai, Y Wang, G Lu IEEE Transactions on Intelligent Transportation Systems 20 (11), 4134-4144, 2018 | 20 | 2018 |
| LimSim: A long-term interactive multi-scenario traffic simulator L Wen, D Fu, S Mao, P Cai, M Dou, Y Li, Y Qiao International Conference on Intelligent Transportation Systems (ITSC), 1255-1262, 2023 | 11 | 2023 |
| Open-sourced data ecosystem in autonomous driving: the present and future H Li, Y Li, H Wang, J Zeng, H Xu, P Cai, L Chen, J Yan, F Xu, L Xiong, ... arXiv preprint arXiv:2312.03408, 2023 | 10 | 2023 |
| Ensemblefollower: A hybrid car-following framework based on reinforcement learning and hierarchical planning X Han, X Chen, M Zhu, P Cai, J Zhou, X Chu arXiv preprint arXiv:2308.16008, 2023 | 10 | 2023 |
| Hybrid cooperative intersection management for connected automated vehicles and pedestrians P Cai, J He, Y Li Journal of Intelligent and Connected Vehicles 6 (2), 91-101, 2023 | 10 | 2023 |
| Drivearena: A closed-loop generative simulation platform for autonomous driving X Yang, L Wen, Y Ma, J Mei, X Li, T Wei, W Lei, D Fu, P Cai, M Dou, B Shi, ... arXiv preprint arXiv:2408.00415, 2024 | 9 | 2024 |
| OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text Q Li, Z Chen, W Wang, W Wang, S Ye, Z Jin, G Chen, Y He, Z Gao, E Cui, ... arXiv preprint arXiv:2406.08418, 2024 | 9 | 2024 |
| Koma: Knowledge-driven multi-agent framework for autonomous driving with large language models K Jiang, X Cai, Z Cui, A Li, Y Ren, H Yu, H Yang, D Fu, L Wen, P Cai IEEE Transactions on Intelligent Vehicles, 2024 | 7 | 2024 |
| Continuously learning, adapting, and improving: A dual-process approach to autonomous driving J Mei, Y Ma, X Yang, L Wen, X Cai, X Li, D Fu, B Zhang, P Cai, M Dou, ... arXiv preprint arXiv:2405.15324, 2024 | 7 | 2024 |
| Bringing diversity to autonomous vehicles: An interpretable multi-vehicle decision-making and planning framework L Wen, P Cai, D Fu, S Mao, Y Li arXiv preprint arXiv:2302.06803, 2023 | 7 | 2023 |
Daocheng FuFudan University, Shanghai Artificial Intelligence LaboratoryPreverjeni e-poštni naslov na pjlab.org.cn
