L
Linhui Li
Researcher at Dalian University of Technology
Publications - 41
Citations - 393
Linhui Li is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 8, co-authored 28 publications receiving 245 citations.
Papers
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Journal ArticleDOI
Design of Automatic Steering Controller for Trajectory Tracking of Unmanned Vehicles Using Genetic Algorithms
TL;DR: Both simulation and experimental results show that the proposed strategy can robustly track the reference trajectories under various conditions with high accuracy.
Journal ArticleDOI
Traffic Scene Segmentation Based on RGB-D Image and Deep Learning
TL;DR: The experimental results show that the introduction of the disparity map can help to improve the semantic segmentsation accuracy and that the proposed network architecture achieves good real-time performance and competitive segmentation accuracy.
Proceedings ArticleDOI
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus
TL;DR: This study proposed two pedestrian trajectory datasets, CITR dataset and DUT dataset, so that the pedestrian motion models can be further calibrated and verified, especially when vehicle influence on pedestrians plays an important role.
Journal ArticleDOI
Small Object Detection in Traffic Scenes Based on Attention Feature Fusion.
TL;DR: In this paper, a multi-scale channel attention block (MS-CAB) is designed, which uses local and global scales to aggregate the effective information of the feature maps, and an attention feature fusion block (AFFB) is proposed, which can better integrate contextual information from different layers.
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus.
TL;DR: In this article, the authors proposed two pedestrian trajectory datasets, CITR dataset and DUT dataset, so that the pedestrian motion models can be further calibrated and verified, especially when vehicle influence on pedestrians plays an important role.