Essays about: "slam lidar based"
Showing result 1 - 5 of 23 essays containing the words slam lidar based.
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1. Autonomous Navigation: LIDAR-based SLAM, Terrain of Technology Explored
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In this thesis, an autonomous system capable of navigating and mapping unknown environments is developed. The solution uses a family of algorithms called SLAM or simultaneous localization and mapping, capable of mapping the environment and retaining accurate position data without external sensors such as GPS. READ MORE
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2. ROS-based implementation of a model car with a LiDAR and camera setup
University essay from Uppsala universitet/Signaler och systemAbstract : The aim of this project is to implement a Radio Controlled (RC) car with a Light Detection and Ranging (LiDAR) sensor and a stereoscopic camera setup based on the Robot Operating System (ROS) to conduct Simultaneous Localization and Mapping (SLAM). The LiDAR sensor used is a 2D LiDAR, RPlidar A1, and the stereoscopic camera setup is made of two monocular cameras, Raspberry Pi Camera v2. READ MORE
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3. Robust Graph SLAM in Challenging GNSS Environments Using Lidar Odometry
University essay from Linköpings universitet/ReglerteknikAbstract : Localization is a fundamental part of achieving fully autonomous vehicles. A localization system needs to constantly provide accurate information about the position of the vehicle and failure could lead to catastrophic consequences. READ MORE
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4. Robotics Approach in Mobile Laser Scanning : Generation of Georeferenced Point-based Forest Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A mobile laser scanning (MLS) system equipped with a lidar, inertial navigation system and satellite positioning can be used to reconstruct georeferenced point-based models of the surveyed environments. Ideal reconstruction requires accurate trajectories that are challenging to obtain in forests. READ MORE
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5. Feature-Aware Point Transformer for Point Cloud Alignment Classification : Pose your pose to FACT
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : As the demand for 3D maps from LIDAR scanners increases, delivering high-quality maps becomes critical. One way to ensure the quality of such maps is through point cloud alignment classification, which aims to classify the alignment error between two registered point clouds. READ MORE