Essays about: "LiDAR perception"

Showing result 16 - 20 of 25 essays containing the words LiDAR perception.

  1. 16. Real-time Detection and Tracking of Moving Objects Using Deep Learning and Multi-threaded Kalman Filtering : A joint solution of 3D object detection and tracking for Autonomous Driving

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Henrik Söderlund; [2019]
    Keywords : Master Thesis; Engineering; Autonomous Driving; Object Detection; Object Tracking; Deep Learning; Kalman Filter; Computer Vision; LiDAR;

    Abstract : Perception for autonomous drive systems is the most essential function for safe and reliable driving. LiDAR sensors can be used for perception and are vying for being crowned as an essential element in this task. READ MORE

  3. 17. Detection and tracking of unknown objects on the road based on sparse LiDAR data for heavy duty vehicles

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Albina Shilo; [2018]
    Keywords : Lidar; arbitrary object detection; object tracking;

    Abstract : Environment perception within autonomous driving aims to provide a comprehensive and accurate model of the surrounding environment based on information from sensors. For the model to be comprehensive it must provide the kinematic state of surrounding objects. READ MORE

  4. 18. Semantic Stixels fusing LIDAR for Scene Perception

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Olof Forsberg; [2018]
    Keywords : Stixels; Perception; Scene Perception; Autonomous driving; AD; LIDAR; Semantic Segmentation; Scene model; Real time; Dynamic Programing;

    Abstract : Autonomous driving is the concept of a vehicle that operates in traffic without instructions from a driver. A major challenge for such a system is to provide a comprehensive, accurate and compact scene model based on information from sensors. READ MORE

  5. 19. 3D obstacle avoidance for drones using a realistic sensor setup

    University essay from KTH/Robotik, perception och lärande, RPL

    Author : Thor Stefansson; [2018]
    Keywords : robotics; drones; unmanned aerial vehicle; obstacle avoidance; 3D; realistic sensor setup; depth camera; lidar; obstacle restriction method; ORM; indoors;

    Abstract : Obstacle avoidance is a well researched area, however most of the works only consider a 2D environment. Drones can move in three dimensions. It is therefore of interest to develop a system that ensures safe flight in these three dimensions. READ MORE

  6. 20. 3D YOLO: End-to-End 3D Object Detection Using Point Clouds

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ezeddin Al Hakim; [2018]
    Keywords : Computer vision; Machine Learning; Autonomous Vehicles; Autonomous Cars; Lider; Point Cloud; Deep Learning; Object Detection; YOLO;

    Abstract : For safe and reliable driving, it is essential that an autonomous vehicle can accurately perceive the surrounding environment. Modern sensor technologies used for perception, such as LiDAR and RADAR, deliver a large set of 3D measurement points known as a point cloud. READ MORE