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Environment Detection of 3D LiDAR by Using Neural Networks
- Source :
- ICCE
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Autonomous vehicles and robot are more and more popular, and it is important to sense the environment for autonomous vehicles and robot. LiDAR is a very powerful device, it can capture the distance and contour of object precisely and quickly. And the scanning range is very wide. we use 3D LiDAR and neural network to detection the environment. We get the data packet from LiDAR, and decode the data packet to 3D point cloud coordinate. Then extract the drivable road by neural network and mark the obstacle.
- Subjects :
- Artificial neural network
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Point cloud
020206 networking & telecommunications
02 engineering and technology
Object (computer science)
Lidar
Obstacle
0202 electrical engineering, electronic engineering, information engineering
Robot
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 IEEE International Conference on Consumer Electronics (ICCE)
- Accession number :
- edsair.doi...........56699626ab45a8fcc8910632c738be74