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LID-Net: A lightweight image dehazing network for automatic driving vision systems Journal article
Tao, Fazhan, Chen, Qi, Fu, Zhigao, Zhu, Longlong, Ji, Baofeng. LID-Net: A lightweight image dehazing network for automatic driving vision systems[J]. Digital Signal Processing: A Review Journal, 2024, 154, 104673.
Authors:  Tao, Fazhan;  Chen, Qi;  Fu, Zhigao;  Zhu, Longlong;  Ji, Baofeng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/2.9 | Submit date：2024/08/05
Attention Mechanism  Automatic Driving  Image Dehazing  Multi-scale Feature  Receptive Field  
Efficient path planning for autonomous vehicles based on RRT* with variable probability strategy and artificial potential field approach Journal article
Tao, Fazhan, Ding, Zhaowei, Fu, Zhigao, Li, Mengyang, Ji, Baofeng. Efficient path planning for autonomous vehicles based on RRT* with variable probability strategy and artificial potential field approach[J]. Scientific Reports, 2024, 14(1), 24698.
Authors:  Tao, Fazhan;  Ding, Zhaowei;  Fu, Zhigao;  Li, Mengyang;  Ji, Baofeng
Favorite | TC[Scopus]:0  IF:3.8/4.3 | Submit date：2024/11/05
Twin delayed deep deterministic policy gradient based energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles considering predicted terrain information Journal article
Tao, Fazhan, Fu, Zhigao, Gong, Huixian, Ji, Baofeng, Zhou, Yao. Twin delayed deep deterministic policy gradient based energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles considering predicted terrain information[J]. Energy, 2023, 283, 129173.
Authors:  Tao, Fazhan;  Fu, Zhigao;  Gong, Huixian;  Ji, Baofeng;  Zhou, Yao
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:9.0/8.2 | Submit date：2023/12/04
Action Screening Mechanism  Deep Reinforcement Learning  Energy Management Strategy  Fuel Cell Hybrid Electric Vehicle  Predicted Terrain Information