Recent Advances in Intelligent Vehicle

Dear Colleagues,

Intelligent vehicles have been considered an essential way to improve urban mobility and reduce emission pollution and traffic accidents. With the development of artificial intelligence, such as deep learning, intelligent vehicle technologies have obtained enormous success. However, due to the unmature of critical technologies, such as environment perception, motion planning, behavior decision, and motion control, the intelligent vehicle still cannot be deployed to real and complex scenarios.

The intelligent vehicle is a very complicated technical system. Critical technologies from different disciplines, such as sensor technology, pattern recognition, control engineering, artificial intelligence, and vehicle engineering, can affect its performance. This Special Issue explores the recent progress in these related research fields. Welcome topics include, but are not strictly limited to the following:

• Imaging and sensor technology, such as LiDAR, camera, millimeter wave radar, and so on;
• Environment perception technology, such as vehicle/pedestrian detection, tracking and prediction, travelable area detection, ground segmentation, and so on;
• Planning and control technology, such as global planning, local planning, behavior decision, motion control, and so on;
• Navigation and localization technology, such as lidar odometry, vision odometry, simultaneous localization and mapping (SLAM), and so on;
• Intelligence test and evaluation.

Dr. Biao Yu
Dr. Jiajia Chen
Dr. Xiang Dong
Guest Editors

Manuscript Submission Information

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