Intelligent Perception for Autonomous Driving in Specific Areas

Dear Colleagues,

Specific areas, such as mine, port and railway, are supposed to be the first batch of large-scale application scenarios for autonomous driving. Among the key technologies of autonomous driving, intelligent perception is fundamental, and allows autonomous vehicles to perceive and understand the driving environment. With the development of neural networks and intelligent sensors, a series of research achievements and applications have been made in the intelligent perception of urban road environments. By comparison, the scenarios in specific areas are more challenging due to their irregular geometric features, complex traffic interactions, or harsh weather conditions. All these pose great challenges to the perception of autonomous driving. This Special Issue will publish papers that reflect research and innovation in the area of intelligent perception for automatic driving in specific areas, including but not limited to the following main topics: lane line/drivable area detection for automatic vehicles; object/obstacle detection and tracking in specific areas; scene segmentation/understanding for automatic vehicles; object/obstacle classification, detection, and tracking in fog/rain/snow; roadside intelligent perception; vehicle–road collaborative perception; vehicle–vehicle collaborative perception; scene reconstruction and understanding; high-precision positioning; depth completion of perception data; data enhancement.

Dr. Guizhen Yu 
Prof. Dr. Lisheng Jin
Dr. Jiaqi Ma
Dr. Zhangyu Wang
Guest Editors

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