Unmanned Vehicles Technology and Embodied Intelligence Systems for Intelligent Transportation

Dear Colleagues,

At present, the new unmanned vehicles technology and embodied intelligence systems for intelligent transportation are in a period of change. In the foreseeable near future, unmanned systems represented by UGV (Unmanned Ground Vehicle) and UAV (Unmanned Aerial Vehicle) will build new ground and air transportation, logistics, and operation systems, which will have great application potential in various fields of industry and agriculture. Unmanned driving systems (on the open road and the closed road) and intelligent agricultural machinery and equipment are representative intelligent transportation applications. 'Interactive' perception, 'learnable' cognition and decision making, and 'self-growth' behavior control are three important features of embodied intelligence. Correspondingly, multi-sensor (Lidar, millimeter wave radar, and optical sensor) and multi-source information fusion technology, SLAM technology, and bionic vision technology are applied to the perception stage. Brain-imitating intelligence and end-to-end deep learning neural networks are applied to the cognition and decision-making stage. Disturbance self-rejection control, integration control, bionic formation control, and manned/unmanned hybrid cooperative control technology are applied to the behavior control stage.

The scope of solicitation includes, but is not limited to, the following:

• Automatic driving, intelligent driving, and unmanned driving; embodied intelligence;
• Perception, cognition, and behavior;
• SLAM (Simultaneous Localization and Mapping);
• Lidar, millimeter-wave radar, RGB and RGB-D machine vision perception, and multi-spectral optical perception; 'interactive' perception;
• 'Learnable' cognition and decision making;
• 'Self-growth' behavior control; biologically inspired visual perception;
• Multi-sensor and multi-source information fusion;
• Brain-imitating intelligence and end-to-end deep learning neural networks;
• Disturbance observer and active disturbance rejection control;
• Perception, decision-making and control integration technology;
• Biologically inspired formation control;
• Hybrid cooperative control of manned/unmanned systems.

Dr. Jian Chen
Dr. Min Xia
Dr. Hui Xie
Topic Editors