Detection of Cars in Mobile Lidar Point Clouds

Guorui Li, Xinwei Fang, Kourosh Khoshelham, S.J. Oude Elberink

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

This paper describes a method for automated detection of temporary cars in Mobile LiDAR point clouds. It consists of a segment-based classification of static cars and a comparison of data from two sensors to identify moving cars. Two segmentation methods are used to extract the ground and group the above-ground points into objects. From each segmented object a number of features are extracted, and a classification strengthened by feature selection is performed to classify temporary cars. We evaluate the performance of two different classifiers trained with a training set including 117 temporary cars, and show classification accuracies of up to 92%. We also investigate a method for identifying moving cars based on the distance between corresponding segments in the point clouds captured by the two scanning sensors, and report an overall accuracy of 61%.
Original languageEnglish
Title of host publication2018 3rd International Conference on Intelligent Transportation Engineering
PublisherIEEE
Pages259-263
Number of pages5
ISBN (Electronic)978-1-5386-7831-2
DOIs
Publication statusPublished - Sep 2018
Event2018 3rd IEEE International Conference on Intelligent Transportation Engineering - Singapore, Singapore
Duration: 3 Sep 20185 Sep 2018
Conference number: 3

Conference

Conference2018 3rd IEEE International Conference on Intelligent Transportation Engineering
Abbreviated titleICITE 2018
CountrySingapore
CitySingapore
Period3/09/185/09/18

Fingerprint

Optical radar
Railroad cars
Sensors
Feature extraction
Classifiers
Scanning

Cite this

Li, G., Fang, X., Khoshelham, K., & Oude Elberink, S. J. (2018). Detection of Cars in Mobile Lidar Point Clouds. In 2018 3rd International Conference on Intelligent Transportation Engineering (pp. 259-263). IEEE. https://doi.org/10.1109/ICITE.2018.8492695
Li, Guorui ; Fang, Xinwei ; Khoshelham, Kourosh ; Oude Elberink, S.J. / Detection of Cars in Mobile Lidar Point Clouds. 2018 3rd International Conference on Intelligent Transportation Engineering. IEEE, 2018. pp. 259-263
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Li, G, Fang, X, Khoshelham, K & Oude Elberink, SJ 2018, Detection of Cars in Mobile Lidar Point Clouds. in 2018 3rd International Conference on Intelligent Transportation Engineering. IEEE, pp. 259-263, 2018 3rd IEEE International Conference on Intelligent Transportation Engineering, Singapore, Singapore, 3/09/18. https://doi.org/10.1109/ICITE.2018.8492695

Detection of Cars in Mobile Lidar Point Clouds. / Li, Guorui; Fang, Xinwei; Khoshelham, Kourosh; Oude Elberink, S.J.

2018 3rd International Conference on Intelligent Transportation Engineering. IEEE, 2018. p. 259-263.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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AB - This paper describes a method for automated detection of temporary cars in Mobile LiDAR point clouds. It consists of a segment-based classification of static cars and a comparison of data from two sensors to identify moving cars. Two segmentation methods are used to extract the ground and group the above-ground points into objects. From each segmented object a number of features are extracted, and a classification strengthened by feature selection is performed to classify temporary cars. We evaluate the performance of two different classifiers trained with a training set including 117 temporary cars, and show classification accuracies of up to 92%. We also investigate a method for identifying moving cars based on the distance between corresponding segments in the point clouds captured by the two scanning sensors, and report an overall accuracy of 61%.

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Li G, Fang X, Khoshelham K, Oude Elberink SJ. Detection of Cars in Mobile Lidar Point Clouds. In 2018 3rd International Conference on Intelligent Transportation Engineering. IEEE. 2018. p. 259-263 https://doi.org/10.1109/ICITE.2018.8492695