In this paper, we present approach for the detection and classification of multiple vehicles using a vehicle mounted laser scanner. The sensor, which is placed in front of the vehicle, is Scala 1403 and its characteristic is that it scans data twice -upper and lower direction- in one period. Consequently, it is difficult to detect and classify vehicles continuously. For solving this problem, another method for classification is needed. In this paper, binary classification is proposed for classification of Scala sensor. It can show better classification result than by using SVM (support vector machine) in case of occlusions. Experimental results carried out with laser range data illustrate the robustness of our approach.
|Title of host publication||ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2015 Dec 23|
|Event||15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of|
Duration: 2015 Oct 13 → 2015 Oct 16
|Name||ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings|
|Other||15th International Conference on Control, Automation and Systems, ICCAS 2015|
|Country||Korea, Republic of|
|Period||15/10/13 → 15/10/16|
Bibliographical noteFunding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. (NRF-2013RIA2A2AOIOI5624)
© 2015 Institute of Control, Robotics and Systems - ICROS.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering