Essays about: "Automotive Class LiDAR"

Found 4 essays containing the words Automotive Class LiDAR.

  1. 1. Radar Detection Using Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Ziliang Xiong; Leonardo Carrera; [2022]
    Keywords : Deep Learning; Autonomous Driving; Radar; Point Cloud; Technology and Engineering;

    Abstract : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. READ MORE

  3. 2. Early Classification of Automotive Radar Data Using LSTM

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

    Author : Joel Styrélius; [2021]
    Keywords : ;

    Abstract : Advanced Driving-Assistance Systems such as blind-spot warning and collision avoidance are crucial systems for creating a safer and more sustainable traffic environment. A prerequisite for the safe operation of these types of systems is the classification of objects in the vicinity of the ego vehicle, based on data from automotive sensors such as lidars and radars. READ MORE

  4. 3. 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

  5. 4. Deep Learning for Semantic Segmentation of 3D Point Clouds from an Airborne LiDAR

    University essay from Linköpings universitet/Datorseende

    Author : Sabina Serra; [2020]
    Keywords : Deep Learning; Machine Learning; Computer vision; Semantic Segmentation; Unmanned Aerial Vehicle; UAV; LiDAR; Point Cloud; 3D Data; Point Cloud Segmentation; Point Classification; Pre-training; Convolutional Neural Network; CNN; Djupinlärning; maskininlärning; semantisk segmentering; LiDAR; datorseende; punktmoln;

    Abstract : Light Detection and Ranging (LiDAR) sensors have many different application areas, from revealing archaeological structures to aiding navigation of vehicles. However, it is challenging to interpret and fully use the vast amount of unstructured data that LiDARs collect. READ MORE