Essays about: "Radar Point-Clouds"

Showing result 1 - 5 of 8 essays containing the words Radar Point-Clouds.

  1. 1. Scene Reconstruction From 4D Radar Data with GAN and Diffusion : A Hybrid Method Combining GAN and Diffusion for Generating Video Frames from 4D Radar Data

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

    Author : Alexandr Djadkin; [2023]
    Keywords : Deep generative models; Generative adversarial networks; Diffusion models; GAN; DGM; 4D imaging radar; Djupa generativa modeller; Generativa antagonistiska nätverk; Diffusionsmodeller; GAN; DGM; 4D-bildradar;

    Abstract : 4D Imaging Radar is increasingly becoming a critical component in various industries due to beamforming technology and hardware advancements. However, it does not replace visual data in the form of 2D images captured by an RGB camera. READ MORE

  3. 2. Domain Adaptation Of Front View Synthetic Point Clouds Using GANs For Autonomous Driving

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Friedemann Kleinsteuber; [2023]
    Keywords : LiDAR; Domain Adaptation; GAN; CycleGAN; Simulation; LiDAR; Domänadaption; GAN; CycleGAN; Simulation;

    Abstract : The perception of the environment is one of the main enablers of Autonomous Driving and is driven by Cameras, RADAR, and LiDAR sensors. Deep Learning algorithms used in perception need a vast amount of labeled, high-quality data which is costly to obtain for LiDAR sensors. READ MORE

  4. 3. Doppler radar odometry for localization in difficult underground environment

    University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

    Author : Emil Fritz; Annika Nilsson; [2023]
    Keywords : SLAM; Localization; Mappers; Odometry; Drift; RIO; Radar; Lidar; IMU;

    Abstract : Accurate and efficient localization is a fundamental requirement for autonomous operation of robots, especially in areas that deny global navigation services. Localization is even more challenging in environments that present visual and geographic difficulties. READ MORE

  5. 4. Image and RADAR fusion for autonomous vehicles

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

    Author : Xavier de Gibert Duart; [2023]
    Keywords : Image; Camera; Computer Vision; Data Fusion; Sensors; 3D data processing; Point Clouds; Calibration; MATLAB and RADAR; RADAR; kamera; datorseende; datafusion; sensorer; 3D-databehandling; punktmoln; kalibrering; MATLAB Image;

    Abstract : Robust detection, localization, and tracking of objects are essential for autonomous driving. Computer vision has largely driven development based on camera sensors in recent years, but 3D localization from images is still challenging. Sensors such as LiDAR or RADAR are used to compute depth; each having its own advantages and drawbacks. READ MORE

  6. 5. Identifying Piggybacking with Radar and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Joel Sigurdsson; Hannes Olsson; [2022]
    Keywords : neural networks; classification; radar; access control; artificial; recurrent; convolutional; point clouds; cnn; ann; lstm; rnn; optimization; gradient descent; camera; piggybacking; tailgating; fmcw; pointnet; Mathematics and Statistics;

    Abstract : A common problem in access control is piggybacking. This is when a person without authorized access sneaks closely behind another with access through a door. This thesis seeks to answer whether using radar is a viable solution when attempting to detect piggybacking. READ MORE