TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change C Chen, Y Ding, X Xie, S Zhang, Z Wang, L Feng IEEE Transactions on Intelligent Transportation Systems 21 (5), 2012-2028, 2019 | 100 | 2019 |
Task and motion planning with large language models for object rearrangement Y Ding, X Zhang, C Paxton, S Zhang IROS 2023, 2023 | 35 | 2023 |
Greenplanner: Planning personalized fuel-efficient driving routes using multi-sourced urban data Y Ding, C Chen, S Zhang, B Guo, Z Yu, Y Wang 2017 IEEE International Conference on Pervasive Computing and Communications …, 2017 | 34 | 2017 |
VTracer: When online vehicle trajectory compression meets mobile edge computing C Chen, Y Ding, Z Wang, J Zhao, B Guo, D Zhang IEEE Systems Journal 14 (2), 1635-1646, 2019 | 29 | 2019 |
A hierarchical energy management strategy based on model predictive control for plug-in hybrid electric vehicles Y Zhang, L Chu, YAN Ding, NAN Xu, C Guo, Z Fu, L Xu, X Tang, Y Liu Ieee Access 7, 81612-81629, 2019 | 27 | 2019 |
A three-stage online map-matching algorithm by fully using vehicle heading direction C Chen, Y Ding, X Xie, S Zhang Journal of Ambient Intelligence and Humanized Computing 9, 1623-1633, 2018 | 19 | 2018 |
A force-directed approach to seeking route recommendation in ride-on-demand service using multi-source urban data S Guo, C Chen, J Wang, Y Ding, Y Liu, K Xu, Z Yu, D Zhang IEEE Transactions on Mobile Computing 21 (6), 1909-1926, 2020 | 14 | 2020 |
Visually grounded task and motion planning for mobile manipulation X Zhang, Y Zhu, Y Ding, Y Zhu, P Stone, S Zhang 2022 International Conference on Robotics and Automation (ICRA), 1925-1931, 2022 | 13 | 2022 |
Task-Motion Planning for Safe and Efficient Urban Driving Y Ding, X Zhang, X Zhan, S Zhang IROS 2020, 2020 | 12 | 2020 |
Robot task planning and situation handling in open worlds Y Ding, X Zhang, S Amiri, N Cao, H Yang, C Esselink, S Zhang arXiv preprint arXiv:2210.01287, 2022 | 8 | 2022 |
Davt: an error-bounded vehicle trajectory data representation and compression framework C Chen, Y Ding, S Guo, Y Wang IEEE Transactions on Vehicular Technology 69 (10), 10606-10618, 2020 | 7 | 2020 |
Grounding Classical Task Planners via Vision-Language Models X Zhang, Y Ding, S Amiri, H Yang, A Kaminski, C Esselink, S Zhang arXiv preprint arXiv:2304.08587, 2023 | 4 | 2023 |
Leveraging Commonsense Knowledge from Large Language Models for Task and Motion Planning Y Ding, X Zhang, C Paxton, S Zhang RSS-23 LTAMP, 2023 | 4 | 2023 |
Learning to ground objects for robot task and motion planning Y Ding, X Zhang, X Zhan, S Zhang IEEE Robotics and Automation Letters 7 (2), 5536-5543, 2022 | 4 | 2022 |
Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds Y Ding, X Zhang, S Amiri, N Cao, H Yang, A Kaminski, C Esselink, ... arXiv preprint arXiv:2305.17590, 2023 | 2 | 2023 |
GLAD: Grounded Layered Autonomous Driving for Complex Service Tasks Y Ding, C Cui, X Zhang, S Zhang arXiv preprint arXiv:2210.02302, 2022 | 2 | 2022 |
An online trajectory compression system applied to resource-constrained gps devices in vehicles Y Ding, C Chen, X Xie, K Liu, L Feng 2018 15th Annual IEEE International Conference on Sensing, Communication …, 2018 | 2 | 2018 |
ARDIE: AR, Dialogue, and Eye Gaze Policies for Human-Robot Collaboration C Zou, K Chandan, Y Ding, S Zhang arXiv preprint arXiv:2305.04685, 2023 | 1 | 2023 |
Task-Motion Planning for Safe and Efficient Urban Driving S Zhang, Y Ding US Patent App. 17/687,636, 2022 | 1 | 2022 |
Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing K Ye, P Dai, X Wu, Y Ding, H Xing, Z Yu Sensors 19 (16), 3547, 2019 | 1 | 2019 |