UM

Browse/Search Results:  1-10 of 27 Help

Selected(0)Clear Items/Page:    Sort:
DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles Journal article
Wang, Chengyue, Liao, Haicheng, Zhu, Kaiqun, Zhang, Guohui, Li, Zhenning. DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles[J]. Information Fusion, 2025, 118, 102924.
Authors:  Wang, Chengyue;  Liao, Haicheng;  Zhu, Kaiqun;  Zhang, Guohui;  Li, Zhenning
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:14.7/16.1 | Submit date:2025/01/22
Autonomous Driving  Trajectory Prediction  Dynamics-based Model  Learning-based Model  Data Fusion  
GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models Journal article
Liao, Haicheng, Shen, Huanming, Li, Zhenning, Wang, Chengyue, Li, Guofa, Bie, Yiming, Xu, Chengzhong. GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models[J]. Communications in Transportation Research, 2024, 4, 100116.
Authors:  Liao, Haicheng;  Shen, Huanming;  Li, Zhenning;  Wang, Chengyue;  Li, Guofa; et al.
Favorite | TC[WOS]:12 TC[Scopus]:20  IF:12.5/12.5 | Submit date:2024/03/05
Autonomous Driving  Visual Grounding  Cross-modal Attention  Large Language Models  Human-machine Interaction  
When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models Conference paper
Liao, Haicheng, Li, Yongkang, Wang, Chengyue, Guan, Yanchen, Tam, Kahou, Tian, Chunlin, Li, Li, Xu, Chengzhong, Li, Zhenning. When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models[C]:Association for Computing Machinery, Inc, 2024, 8-17.
Authors:  Liao, Haicheng;  Li, Yongkang;  Wang, Chengyue;  Guan, Yanchen;  Tam, Kahou; et al.
Favorite | TC[Scopus]:0 | Submit date:2024/12/05
Autonomous Driving  Dynamic Object Attention  Human-ai Interaction  Large Language Models  Traffic Accident Anticipation  
SparseInteraction: Sparse Semantic Guidance for Radar and Camera 3D Object Detection Conference paper
Xu, Shaoqing, Jiang, Shengyin, Li, Fang, Liu, Li, Song, Ziying, Yang, Bo, Yang, Zhi Xin. SparseInteraction: Sparse Semantic Guidance for Radar and Camera 3D Object Detection[C]:Association for Computing Machinery, Inc, 2024, 9224-9233.
Authors:  Xu, Shaoqing;  Jiang, Shengyin;  Li, Fang;  Liu, Li;  Song, Ziying; et al.
Favorite | TC[Scopus]:3 | Submit date:2024/12/05
3d Object Detection  Autonomous Driving  Multi-modal  
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions Conference paper
Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li. CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions[C], New York, NY, USA:Association for Computing Machinery, Inc, 2024, 11041-11050.
Authors:  Haicheng Liao;  Haoyu Sun;  Huanming Shen;  Chengyue Wang;  Kahou Tam; et al.
Favorite | TC[Scopus]:0 | Submit date:2024/09/16
Autonomous Driving  Dynamic Visual Fusion  Fast Fourier Transform  Spatial-temporal Analysis  Traffic Accident Anticipation  
FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control Conference paper
Ma, Jialiang, Tian, Chunlin, Li, Li, Xu, Chengzhong. FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202971.
Authors:  Ma, Jialiang;  Tian, Chunlin;  Li, Li;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:2 | Submit date:2024/11/05
Training  Federated Learning  Velocity Control  Process Control  Collaboration  Quality Of Service  Distance Measurement  Autonomous Driving  Federated Learning  Control Optimization  
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection Conference paper
Yin, Junbo, Shen, Jianbing, Chen, Runnan, Li, Wei, Yang, Ruigang, Frossard, Pascal, Wang, Wenguan. IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection[C]:IEEE Computer Society, 2024, 14905-14915.
Authors:  Yin, Junbo;  Shen, Jianbing;  Chen, Runnan;  Li, Wei;  Yang, Ruigang; et al.
Favorite | TC[WOS]:2 TC[Scopus]:9 | Submit date:2024/11/05
Point Cloud Compression  Computer Vision  Three-dimensional Displays  Collaboration  Object Detection  Benchmark Testing  Transformers  Multimodal  Object Detection  Point Cloud  Autonomous Driving  
World Models for Autonomous Driving: An Initial Survey Journal article
Guan, Yanchen, Liao, Haicheng, Li, Zhenning, Hu, Jia, Yuan, Runze, Li, Yunjian, Zhang, Guohui, Xu, Chengzhong. World Models for Autonomous Driving: An Initial Survey[J]. IEEE Transactions on Intelligent Vehicles, 2024.
Authors:  Guan, Yanchen;  Liao, Haicheng;  Li, Zhenning;  Hu, Jia;  Yuan, Runze; et al.
Favorite | TC[Scopus]:8  IF:14.0/11.2 | Submit date:2024/06/05
World Model  Autonomous Driving  Foundational Model  Model-based Reinforcement Learning  
Understanding social attitudes towards autonomous driving: a perspective from Chinese citizens Journal article
Li, Zhenning, Tang, Ruru, Li, Guofa, Xu, Chengzhong. Understanding social attitudes towards autonomous driving: a perspective from Chinese citizens[J]. Transportation, 2024.
Authors:  Li, Zhenning;  Tang, Ruru;  Li, Guofa;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:3.5/4.3 | Submit date:2024/06/05
Autonomous Vehicle  Driving Behavior  Mixed Logit  Social Attitude  Willingness To Pay  
Seamless Virtual Reality With Integrated Synchronizer and Synthesizer for Autonomous Driving Journal article
Li, He, Han, Ruihua, Zhao, Zirui, Xu, Wei, Hao, Qi, Wang, Shuai, Xu, Chengzhong. Seamless Virtual Reality With Integrated Synchronizer and Synthesizer for Autonomous Driving[J]. IEEE Robotics and Automation Letters, 2024, 9(5), 4218-4225.
Authors:  Li, He;  Han, Ruihua;  Zhao, Zirui;  Xu, Wei;  Hao, Qi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.5 | Submit date:2024/05/16
Autonomous Driving  Imitation Learning  Sim-to-real  Virtual Reality