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- W2071418567 abstract "To track walking persons inside a surveillance area we use LIDAR (LIght Detection And Ranging) sensors with asmall number N of spatially stationary LIDAR beams in order to keep the sensor costs to a minimum. To achievehigh target detectability and tracking performance, the coverage of the surveillance area by the N LIDAR beamsmust be large, which is why the beamwidth is to be set to a practically feasible maximum. As a result, thelateral localization error inside these wide LIDAR beams is high while the area of surveillance can still not beentirely covered by LIDAR beams. Thus, the accurate tracking of persons walking inside the area of surveillanceis challenging. In the classical tracking approach, the axial position of a target inside a LIDAR beam is obtainedfrom time-of-ight measurements. However, the lateral deviation of the target position from the optical beamaxis remains unknown. In this paper, a novel approach to reduce the lateral localization error is proposed andinvestigated. From consecutively measured (axial) distances to the target while it moves through a LIDAR beamthe target velocity vector is estimated and used as observation for a Kalman-based tracking algorithm. Thelocalization and tracking performances of the novel approach are determined and compared with those of theclassical approach." @default.
- W2071418567 created "2016-06-24" @default.
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- W2071418567 date "2013-05-24" @default.
- W2071418567 modified "2023-10-08" @default.
- W2071418567 title "Reduction of the lateral localization error of targets moving through a LIDAR beam" @default.
- W2071418567 doi "https://doi.org/10.1117/12.2020528" @default.
- W2071418567 hasPublicationYear "2013" @default.
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