
3D Object Detection Algorithms Based on Lidar and Camera
Design and Simulation
LAP Lambert Academic Publishing
Published on 16. January 2020
Book
Paperback/Softback
100 pages
978-620-0-53653-2 (ISBN)
Description
With the increasing number of vehicles, traffic accidents occur more frequently. The realization of automatic driving will greatly improve driving safety, and the efficiency of the entire transportation system, and save time for users. Environment perception is a very important part of automatic driving. In this task, the use of deep learning in 3D object detection is a hot research subject in recent years. In view of this situation, it is of great practical significance to explore a more accurate and efficient 3D object detection method.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 7 mm
Weight
167 gr
ISBN-13
978-620-0-53653-2 (9786200536532)
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Schweitzer Classification
Persons
Dianwei Qian is with the School of Control and Computer Engineering, North China Electric Power University, Beijing, China.Shiwen Tong is with the College of Robotics, Beijing Union University, Beijing, China.