Autonomous driving paper index
Free-Space Estimation for Self-Driving System Using Millimeter Wave Radar and Convolutional Neural Network
One-line summary
To solve this problem, we propose a method to approximate free space generated by millimeter wave radar data to the free space generated by LIDAR data using CNN.
Engineering notes
Key topics: self-driving, autonomous vehicle, lidar, radar. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Recently, autonomous vehicles are gaining a lot of attention and their R&D are conducted in various institutions. A vehicle should be able to change lanes for achieving full autonomous status. Using millimeter wave radar is cost-effective however it detects only a few points. To solve this problem, we propose a method to approximate free space generated by millimeter wave radar data to the free space generated by LIDAR data using CNN. The result shows that CNN enables to close to the LIDAR by an average of 1.5 m.
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