Publications in collaboration with researchers from Jiangsu University (14)

2023

  1. A high-performance neural network vehicle dynamics model for trajectory tracking control

    Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 237, Núm. 7, pp. 1695-1709

  2. CenterPoint-SE: A Single-Stage Anchor-Free 3-D Object Detection Algorithm with Spatial Awareness Enhancement

    IEEE Transactions on Intelligent Transportation Systems, Vol. 24, Núm. 10, pp. 10760-10773

2022

  1. Map-based localization for intelligent vehicles from bi-sensor data fusion

    Expert Systems with Applications, Vol. 203

  2. Pedestrian Motion Trajectory Prediction in Intelligent Driving from Far Shot First-Person Perspective Video

    IEEE Transactions on Intelligent Transportation Systems, Vol. 23, Núm. 6, pp. 5298-5313

  3. Robust-FusionNet: Deep Multimodal Sensor Fusion for 3-D Object Detection Under Severe Weather Conditions

    IEEE Transactions on Instrumentation and Measurement, Vol. 71

  4. SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes

    IEEE Transactions on Intelligent Transportation Systems, Vol. 23, Núm. 11, pp. 21405-21417

  5. Voxel-RCNN-Complex: An Effective 3-D Point Cloud Object Detector for Complex Traffic Conditions

    IEEE Transactions on Instrumentation and Measurement, Vol. 71

  6. YOLOv5-Fog: A Multiobjective Visual Detection Algorithm for Fog Driving Scenes Based on Improved YOLOv5

    IEEE Transactions on Instrumentation and Measurement, Vol. 71

2021

  1. Creating navigation map in semi-open scenarios for intelligent vehicle localization using multi-sensor fusion

    Expert Systems with Applications, Vol. 184

  2. Environment-attention network for vehicle trajectory prediction

    IEEE Transactions on Vehicular Technology, Vol. 70, Núm. 11, pp. 11216-11227

  3. Visual Map-Based Localization for Intelligent Vehicles from Multi-View Site Matching

    IEEE Transactions on Intelligent Transportation Systems, Vol. 22, Núm. 2, pp. 1068-1079

  4. YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving

    IEEE Transactions on Instrumentation and Measurement, Vol. 70