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Enhanced Object Detection With Deep Convolutional Neural Networks for Advanced Driving Assistance

  • Published:2020-04 Issue:4 Volume:21 Page:1572-1583
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wei Jian,He JianhuaORCID,Zhou Yi,Chen Kai,Tang ZuoyinORCID,Xiong Zhiliang

Funder

European Union’s Horizon 2020 Research and Innovation Programme through the Marie Skodowska-Curie

FP7 grant DETERMINE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

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1. Enhanced real-time road-vehicles’ detection and tracking for driving assistance;International Journal of Knowledge-based and Intelligent Engineering Systems;2023-12-21

2. Research on Real-time Detection of Stacked Objects Based on Deep Learning;Journal of Intelligent & Robotic Systems;2023-11-29

3. Lightweight ship target detection algorithm based on improved YOLOv5s;Journal of Real-Time Image Processing;2023-11-23

4. Adaptive Method to Increase Vehicle Detection System Robustness on Blurred and Noisy Aerial Images;2023 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED);2023-11-15

5. FSSDD: Few‐shot steel defect detection based on multi‐scale semantic enhancement representation and mask category information mapping;IET Image Processing;2023-11-13
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