Abstract
Advanced Driver Assistance System (ADAS) and Artificial Intelligent (AI) are the important issue in recent years, autonomous car plays an important role in whole ADAS. To detect the environment surround the car, the sensor might be sensitive and immediate. LiDAR (Light Detection and Ranging) uses Laser to get the reflectivity from the surrounding objects. For clustering the objects with point cloud, the density of the point cloud still sparse, making the cluster result completely, we implement a system combines LiDAR and multi-view image, the depth image is generated by multi-view can help us to cluster the object in point cloud clearly. In addition, we use CORDIC (Coordinate Rotation Digital Computer) EEAS (Extended Elementary Angle Set) architecture to decode the package data that collected from Velodyne HDL-64E. By using the flow of digital chip design, we reduce the power consumption and accelerate the speed. The proposed system achieves 91.09% accuracy and the processing time is 0.757 second.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.