MLFNet: Multi-Level Fusion Network for Real-Time Semantic Segmentation of Autonomous Driving-Reference-Cited by-同舟云学术

MLFNet: Multi-Level Fusion Network for Real-Time Semantic Segmentation of Autonomous Driving

Author:

Fan Jiaqi¹^ORCID,Wang Fei²,Chu Hongqing³^ORCID,Hu Xiao⁴^ORCID,Cheng Yifan⁵,Gao Bingzhao³^ORCID

Affiliation:

1. Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China

2. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China

3. School of Automotive Studies, Tongji University, Shanghai, China

4. School of Artificial Intelligence, Jilin University, Changchun, China

5. School of Electronic and Information Engineering, Tongji University, Shanghai, China

Funder

Shanghai Municipal Science and Technology Major Project

International Technology Cooperation Program of Science and Technology Commission of Shanghai Municipality

Shanghai Pujiang Program

Shanghai Peak Disciplines of Intelligent Science and Technology

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

Reference53 articles.

1. Vortex Pooling: Improving Context Representation in Semantic Segmentation;xie,2018

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