Abstract
Vehicle Recognition is crucial for an Autonomous Land Vehicle (ALV) navigation in urban environments. In this paper, we proposed a novel Global Cylindrical Coordination Histogram Descriptor(GCCHD) to recognize vehicles in urban environments. This description is created for the centre point of each object. In order to achieve independence with respect to the rotation around $z$ axis, a global reference frame is introduced in GCCHD, and all the three-dimensional points in the cylindrical support region are projected into the three-dimensional histogram according to their three cylindrical coordinates. Experiments on the public Sydney Urban Object dataset and the dataset we prepare and label manually verify the performance of the GCCHD in vehicle recognition.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
