Essays about: "Pedestrian detection"
Showing result 21 - 25 of 48 essays containing the words Pedestrian detection.
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21. Improved Data Association for Multi-Pedestrian Tracking Using Image Information
University essay from Linköpings universitet/DatorseendeAbstract : Multi-pedestrian tracking (MPT) is the task of localizing and following the trajectory of pedestrians in a sequence. Using an MPT algorithm is an important part in preventing pedestrian-vehicle collisions in Automated Driving (AD) and Advanced Driving Assistance Systems (ADAS). READ MORE
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22. Analysing pedestrian movement with the Flowity software
University essay from Lunds universitet/Avdelningen för BrandteknikAbstract : This thesis surveyed existing technologies and research on pedestrian detection systems using video as input. The purpose of the study was to investigate what such a software would need to produce to be relevant for the fire safety engineer in outdoor circulation- or egress applications. READ MORE
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23. Multi-Camera People Detection and Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Pedestrian detection and tracking are essential problems in the field of computer vision, having a wide range of applications in surveillance, security, autonomous driving and robotics areas. Although people detection and tracking are generally considered widely-used technologies currently, however, occlusions still remain a major challenge. READ MORE
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24. Estimating Position and Velocity of Traffic Participants Using Non-Causal Offline Algorithms
University essay from Linköpings universitet/ReglerteknikAbstract : In this thesis several non-causal offline algorithms are developed and evaluated for a vision system used for pedestrian and vehicle traffic. The reason was to investigate if the performance increase of non-causal offline algorithms alone is enough to evaluate the performance of vision system. READ MORE
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25. LiDAR Pedestrian Detector and Semi-Automatic Annotation Tool for Labeling of 3D Data
University essay from Lunds universitet/Matematik LTHAbstract : The goal of this Master's Thesis is to successfully detect and classify humans in a LiDAR data stream. The focus of the Thesis is on the detection and classification, not on the LiDAR technology. To classify humans machine learning was used and to train the machine learning model we collected our own data and annotated it. READ MORE