1–20 von 49 Ergebnissen
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    Transformers for Object Detection in Large Point Clouds

    Ruppel, Felicia / Faion, Florian / Glaser, Claudius et al. | IEEE | 2022
    Verlag: IEEE

    Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds

    Piroli, Aldi / Dallabetta, Vinzenz / Walessa, Marc et al. | IEEE | 2022
    Verlag: IEEE

    A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories

    Wiederer, Julian / Schmidt, Julian / Kressel, Ulrich et al. | IEEE | 2022
    Verlag: IEEE

    Identification of Threat Regions From a Dynamic Occupancy Grid Map for Situation-Aware Environment Perception

    Henning, Matti / Strohbeck, Jan / Buchholz, Michael et al. | IEEE | 2022
    Verlag: IEEE

    Fast Rule-Based Clutter Detection in Automotive Radar Data

    Kopp, Johannes / Kellner, Dominik / Piroli, Aldi et al. | IEEE | 2021
    Verlag: IEEE

    Pose Graph Fusion for Robot Follow Control

    Forstenhausler, Marc / Muller, Johannes / Dietmayer, Klaus | IEEE | 2021
    Intelligent transportation systems are often required to estimate their ego state globally while matching their trajectory to the motion of ...
    Verlag: IEEE

    Anomaly Detection in Radar Data Using PointNets

    Griebel, Thomas / Authaler, Dominik / Horn, Markus et al. | IEEE | 2021
    Verlag: IEEE

    Attention-based Vehicle Self-Localization with HD Feature Maps

    Engel, Nico / Belagiannis, Vasileios / Dietmayer, Klaus | IEEE | 2021
    Verlag: IEEE

    Uncertainty depth estimation with gated images for 3D reconstruction

    Walz, Stefanie / Gruber, Tobias / Ritter, Werner et al. | IEEE | 2020
    systems. In this work, we extend the recent Gated2Depth framework with aleatoric uncertainty providing an additional confidence measure for the ...
    Verlag: IEEE

    Using Machine Learning to Detect Ghost Images in Automotive Radar

    Kraus, Florian / Scheiner, Nicolas / Ritter, Werner et al. | IEEE | 2020
    Radar sensors are an important part of driver assistance systems and intelligent vehicles due to their robustness against all kinds of ...
    Verlag: IEEE

    DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration

    Horn, Markus / Engel, Nico / Belagiannis, Vasileios et al. | IEEE | 2020
    Verlag: IEEE

    2D Car Detection in Radar Data with PointNets

    Danzer, Andreas / Griebel, Thomas / Bach, Martin et al. | IEEE | 2019
    Verlag: IEEE

    Towards Courteous Behavior and Trajectory Planning for Automated Driving

    Speidel, Oliver / Graf, Maximilian / Phan-Huu, Thanh et al. | IEEE | 2019
    Verlag: IEEE

    Fusion of Object Tracking and Dynamic Occupancy Grid Map

    Rexin, Nils / Musch, Marcel / Dietmayer, Klaus | IEEE | 2019
    Verlag: IEEE

    Separable Convolutional LSTMs for Faster Video Segmentation

    Pfeuffer, Andreas / Dietmayer, Klaus | IEEE | 2019
    Verlag: IEEE

    Uncertainty Estimation in One-Stage Object Detection

    Kraus, Florian / Dietmayer, Klaus | IEEE | 2019
    Environment perception is the task for intelligent vehicles on which all subsequent steps rely. A key part of perception is to safely ...
    Verlag: IEEE

    DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks

    Engel, Nico / Hoermann, Stefan / Horn, Markus et al. | IEEE | 2019
    Verlag: IEEE

    Trajectory Planning for Automated Vehicles using Driver Models

    Graf, Maximilian / Speidel, Oliver / Ziegler, Julius et al. | IEEE | 2018
    Verlag: IEEE