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A 64-Line Lidar-Based Road Obstacle Sensing Algorithm for Intelligent Vehicles
Joint Authors
Wang, Hai
Cai, Yingfeng
Lou, Xinyu
Chen, Long
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-21
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Based on the 64-line lidar sensor, an object detection and classification algorithm with both effectiveness and real time is proposed.
Firstly, a multifeature and multilayer lidar points map is used to separate the road, obstacle, and suspension object.
Then, obstacle grids are clustered by a grid-clustering algorithm with dynamic distance threshold.
After that, by combining the motion state information of two adjacent frames, the clustering results are corrected.
Finally, the SVM classifier is used to classify obstacles with clustered object position and attitude features.
The good accuracy and real-time performance of the algorithm are proved by experiments, and it can meet the real-time requirements of the intelligent vehicles.
American Psychological Association (APA)
Wang, Hai& Lou, Xinyu& Cai, Yingfeng& Chen, Long. 2018. A 64-Line Lidar-Based Road Obstacle Sensing Algorithm for Intelligent Vehicles. Scientific Programming،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1214725
Modern Language Association (MLA)
Wang, Hai…[et al.]. A 64-Line Lidar-Based Road Obstacle Sensing Algorithm for Intelligent Vehicles. Scientific Programming No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1214725
American Medical Association (AMA)
Wang, Hai& Lou, Xinyu& Cai, Yingfeng& Chen, Long. A 64-Line Lidar-Based Road Obstacle Sensing Algorithm for Intelligent Vehicles. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1214725
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214725