Vehículos inteligentes y Tecnología de Tráfico ; Intelligent vehicles and traffic technologies
INVETT
Jiangsu University
Zhenjiang, ChinaPublicaciones en colaboración con investigadores/as de Jiangsu University (14)
2024
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DAIR-V2XReid: A New Real-World Vehicle-Infrastructure Cooperative Re-ID Dataset and Cross-Shot Feature Aggregation Network Perception Method
IEEE Transactions on Intelligent Transportation Systems, Vol. 25, Núm. 8, pp. 9058-9068
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Localization for Intelligent Vehicles in Underground Car Parks Based on Semantic Information
IEEE Transactions on Intelligent Transportation Systems, Vol. 25, Núm. 2, pp. 1317-1332
2023
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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
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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
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Map-based localization for intelligent vehicles from bi-sensor data fusion
Expert Systems with Applications, Vol. 203
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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
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Robust-FusionNet: Deep Multimodal Sensor Fusion for 3-D Object Detection Under Severe Weather Conditions
IEEE Transactions on Instrumentation and Measurement, Vol. 71
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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
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Voxel-RCNN-Complex: An Effective 3-D Point Cloud Object Detector for Complex Traffic Conditions
IEEE Transactions on Instrumentation and Measurement, Vol. 71
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YOLOv5-Fog: A Multiobjective Visual Detection Algorithm for Fog Driving Scenes Based on Improved YOLOv5
IEEE Transactions on Instrumentation and Measurement, Vol. 71
2021
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Creating navigation map in semi-open scenarios for intelligent vehicle localization using multi-sensor fusion
Expert Systems with Applications, Vol. 184
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Environment-attention network for vehicle trajectory prediction
IEEE Transactions on Vehicular Technology, Vol. 70, Núm. 11, pp. 11216-11227
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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
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YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving
IEEE Transactions on Instrumentation and Measurement, Vol. 70