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Showing result 1 - 5 of 8 essays matching the above criteria.

  1. 1. Point Cloud Registration using both Machine Learning and Non-learning Methods : with Data from a Photon-counting LIDAR Sensor

    University essay from Linköpings universitet/Datorseende

    Author : Maja Boström; [2023]
    Keywords : Point Cloud Registration; Machine Learning; Photon-counting LIDAR; Iterative Closest Point;

    Abstract : Point Cloud Registration with data measured from a photon-counting LIDAR sensor from a large distance (500 m - 1.5 km) is an expanding field. Data measuredfrom far is sparse and have low detail, which can make the registration processdifficult, and registering this type of data is fairly unexplored. READ MORE

  3. 2. Static Extrinsic Calibration of a Vehicle-Mounted Lidar Using Spherical Targets

    University essay from Umeå universitet/Institutionen för fysik

    Author : Philip Sandström; [2023]
    Keywords : ;

    Abstract : Self-driving cars are steadily becoming a reality by a growing number of driver assistance functions enabled by smart perception sensors. The light detection and ranging (lidar) sensor show great potential for perception tasks due to its precise distance measurements. READ MORE

  4. 3. Real Time Lidar and ICP-Based Odometry in Dynamic Environments

    University essay from Linköpings universitet/Reglerteknik

    Author : Carl Hampus Hedén; Ludvig Hansson Granström; [2022]
    Keywords : ICP; Localization;

    Abstract : A robust and highly accurate positioning system is required to transition to fully autonomous vehicles in society.  This thesis investigates the potential for lidar sensors to be a part of a localization system, adding redundancy in case of an outage in a global navigation satellite system GNSS. READ MORE

  5. 4. Development of an ICP-based Global Localization System

    University essay from Linköpings universitet/Reglerteknik

    Author : Rebecka Nylén; Katherine Rajala; [2021]
    Keywords : localization; ICP; EKF; automatic control;

    Abstract : The most common way to track the position of a vehicle is by using the Global Navigation Satellite System (GNSS). Unfortunately, there are many scenarios where GNSS is inaccessible or provides low precision, and it can therefore be vulnerable to only rely on GNSS. READ MORE

  6. 5. Relative pose estimation of a plane on an airfield with automotive-class solid-state LiDAR sensors : Enhancing vehicular localization with point cloud registration

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

    Author : Marco Casagrande; [2021]
    Keywords : Point Cloud Registration; Iterative Closest Point; Relative Localization; Automotive Class LiDAR; Point Cloud Registrering; Iterative Closest Point; Relativ Lokalisering; LiDAR;

    Abstract : Point cloud registration is a technique to align two sets of points with manifold applications across a range of industries. However, due to a lack of adequate sensing technology, this technique has seldom found applications in the automotive sector up to now. READ MORE