%0 Conference Paper %1 5309697 %A Premebida, C. %A Ludwig, O. %A Nunes, U. %B 2009 12th International IEEE Conference on Intelligent Transportation Systems %D 2009 %K Lidar ml order1 pedestrian %P 1-6 %R 10.1109/ITSC.2009.5309697 %T Exploiting LIDAR-based features on pedestrian detection in urban scenarios %U https://ieeexplore.ieee.org/document/5309697 %X Reliable detection and classification of vulnerable road users constitute a critical issue on safety/protection systems for intelligent vehicles driving in urban zones. In this subject, most of the perception systems have LIDAR and/or radar as primary detection modules and vision-based systems for object classification. This work, on the other hand, presents a valuable analysis of pedestrian detection in urban scenario using exclusively LIDAR-based features. The aim is to explore how much information can be extracted from LIDAR sensors for pedestrian detection. Moreover, this study will be useful to compose multi-sensor based pedestrian detection systems using not only LIDAR but also vision sensors. Experimental results using our data set and a detailed classification performance analysis are presented, with comparisons among various classification techniques.

@inproceedings{5309697, abstract = {Reliable detection and classification of vulnerable road users constitute a critical issue on safety/protection systems for intelligent vehicles driving in urban zones. In this subject, most of the perception systems have LIDAR and/or radar as primary detection modules and vision-based systems for object classification. This work, on the other hand, presents a valuable analysis of pedestrian detection in urban scenario using exclusively LIDAR-based features. The aim is to explore how much information can be extracted from LIDAR sensors for pedestrian detection. Moreover, this study will be useful to compose multi-sensor based pedestrian detection systems using not only LIDAR but also vision sensors. Experimental results using our data set and a detailed classification performance analysis are presented, with comparisons among various classification techniques.}, added-at = {2020-05-27T21:20:41.000+0200}, author = {{Premebida}, C. and {Ludwig}, O. and {Nunes}, U.}, biburl = {https://www.bibsonomy.org/bibtex/26658d315ac56a63ed1fea31a1f20a187/sohnki}, booktitle = {2009 12th International IEEE Conference on Intelligent Transportation Systems}, description = {Exploiting LIDAR-based features on pedestrian detection in urban scenarios - IEEE Conference Publication}, doi = {10.1109/ITSC.2009.5309697}, interhash = {9379248eaa9eb888bbc9a4170ac4acd8}, intrahash = {6658d315ac56a63ed1fea31a1f20a187}, issn = {2153-0017}, keywords = {Lidar ml order1 pedestrian}, month = oct, pages = {1-6}, timestamp = {2020-06-02T20:03:31.000+0200}, title = {Exploiting LIDAR-based features on pedestrian detection in urban scenarios}, url = {https://ieeexplore.ieee.org/document/5309697}, year = 2009 }