4.5 Article

Pedestrian recognition and tracking using 3D LiDAR for autonomous vehicle

Journal

ROBOTICS AND AUTONOMOUS SYSTEMS
Volume 88, Issue -, Pages 71-78

Publisher

ELSEVIER
DOI: 10.1016/j.robot.2016.11.014

Keywords

Pedestrian recognition and tracking; Point clouds; Hash table; GUI design

Funding

  1. National Natural Science Foundation of China [61673098, 61273148, 61420106016, 61621004]
  2. IAPI Fundamental Research Funds [2013ZCX01-01]

Ask authors/readers for more resources

This paper studies the pedestrian recognition and tracking problem for autonomous vehicles using a 3D LiDAR, a classifier trained by SVM (Support Vector Machine) is used to recognize pedestrians, the recognition performance is further improved with the aid of tracking results. By comparing positions and velocity directions of pedestrians with curb information, alarms will be generated if pedestrians are detected to be on road or close to curbs. The proposed approach has been verified on an autonomous vehicle platform. (C) 2016 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available