Area of research
Computer Vision and Pattern Recognition · Automotive Engineering
Research interest
Research interests include Advanced Neural Network Applications, Video Surveillance and Tracking Methods, Autonomous Vehicle Technology and Safety, and Robotics and Sensor-Based Localization.
Group competition mechanism enabled by nitrogen-doped graphene quantum dots for efficient Cd(II) detection and removal
MSAFusion: Object Detection Based on Multisensor Adaptive Fusion Under BEV
Iron-based driven chitosan quaternary ammonium salt self-gelling powder: Sealing uncontrollable bleeding and promoting wound healing
YOLOv8-QSD: An Improved Small Object Detection Algorithm for Autonomous Vehicles Based on YOLOv8
TransFusion: Multi-Modal Robust Fusion for 3D Object Detection in Foggy Weather Based on Spatial Vision Transformer
A new visual sensing system for motion state estimation of lateral localization of intelligent vehicles
Intelligent vehicle trajectory tracking control based on physics-informed neural network dynamics model
CenterNet-Auto: A Multi-object Visual Detection Algorithm for Autonomous Driving Scenes Based on Improved CenterNet
Sparse U-PDP: A Unified Multi-Task Framework for Panoptic Driving Perception
MixedFusion: An Efficient Multimodal Data Fusion Framework for 3-D Object Detection and Tracking
Rule‐constrained reinforcement learning control for autonomous vehicle left turn at unsignalized intersection
Pillar3D-Former: A Pillar-Based 3-D Object Detection and Tracking Method for Autonomous Driving Scenes
SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes
YOLOv5-Fog: A Multiobjective Visual Detection Algorithm for Fog Driving Scenes Based on Improved YOLOv5
Voxel-RCNN-Complex: An Effective 3-D Point Cloud Object Detector for Complex Traffic Conditions
Robust-FusionNet: Deep Multimodal Sensor Fusion for 3-D Object Detection Under Severe Weather Conditions
Improved Traffic Sign Detection Algorithm Based on Faster R-CNN
A high-performance neural network vehicle dynamics model for trajectory tracking control
CAE‐GAN: A hybrid model for vehicle trajectory prediction
A Lightweight Feature Map Creation Method for Intelligent Vehicle Localization in Urban Road Environments
V2I-CARLA: A Novel Dataset and a Method for Vehicle Reidentification-Based V2I Environment
Deep learning‐based hybrid model for the behaviour prediction of surrounding vehicles over long‐time periods
YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving
Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions
Pedestrian Motion Trajectory Prediction in Intelligent Driving from Far Shot First-Person Perspective Video
Environment-Attention Network for Vehicle Trajectory Prediction
DLnet With Training Task Conversion Stream for Precise Semantic Segmentation in Actual Traffic Scene
Creating navigation map in semi-open scenarios for intelligent vehicle localization using multi-sensor fusion
Soft-Weighted-Average Ensemble Vehicle Detection Method Based on Single-Stage and Two-Stage Deep Learning Models
Synthesis of new dihybrid nanofluid of TiO2/MWCNT in water–ethylene glycol to improve mixture thermal performance: preparation, characterization, and a novel correlation via ANN based on orthogonal distance regression algorithm