Essays about: "Pedestrian Detection"
Showing result 11 - 15 of 48 essays containing the words Pedestrian Detection.
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11. Point Cloud Data Augmentation for Safe 3D Object Detection using Geometric Techniques
University essay fromAbstract : Background: Autonomous navigation has become increasingly popular. This surge in popularity caused a lot of interest in sensor technologies, driving the cost of sensor technology down. This has resulted in increasing developments in deep learning for computer vision. READ MORE
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12. Pedestrian Multiple Object Tracking Using Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In this thesis, the aim is to examine the viability of Deep Neural Network (DNN) based Multi-Object Tracking approaches for tracking pedestrians. The tracking results are used for Autonomous Driver Assistance System (ADAS). The process of tracking multiple agents across video is termed as Multiple Object Tracking (MOT). READ MORE
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13. Pedestrian detection and tracking in 3D point cloud data on limited systems
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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14. Scene analysis using Tensorflow & YOLO algorithms on Raspberry pi 4
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Objektdetektion är en av de viktigaste mjukvarukomponenterna i nästa generation trafikövervakning. Deep learnings-algoritmer för objektdetektion, exempelvis YOLO (You Only Look Once), är snabba och noggranna algoritmer i realtid. Realtidsdetektion och igenkänning av objekt är viktiga uppgifter för bildbehandling. READ MORE
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15. Object Detection with Deep Convolutional Neural Networks in Images with Various Lighting Conditions and Limited Resolution
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computer vision is a key component of any autonomous system. Real world computer vision applications rely on a proper and accurate detection and classification of objects. A detection algorithm that doesn’t guarantee reasonable detection accuracy is not applicable in real time scenarios where safety is the main objective. READ MORE