Search Results - "Glaser, Claudius"

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges by Feng, Di, Haase-Schutz, Christian, Rosenbaum, Lars, Hertlein, Heinz, Glaser, Claudius, Timm, Fabian, Wiesbeck, Werner, Dietmayer, Klaus

“…Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous…”
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Dynamic Occupancy Grid Mapping with Recurrent Neural Networks by Schreiber, Marcel, Belagiannis, Vasileios, Glaser, Claudius, Dietmayer, Klaus

“…Modeling and understanding the environment is an essential task for autonomous driving. In addition to the detection of objects, in complex traffic scenarios…”
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Environment perception for inner-city driver assistance and highly-automated driving by Glaser, Claudius, Michalke, Thomas Paul, Burkle, Lutz, Niewels, Frank

“…While driver assistance systems mainly targeted highway or parking scenarios in the past, systems assisting in inner-city traffic increasingly get into focus…”
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Firing Rate Homeostasis for Dynamic Neural Field Formation by Glaser, C., Joublin, F.

“…Dynamic neural fields are recurrent neural networks which aim at modeling cortical activity evolution both in space and time. A self-organized formation of…”
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Group Regression for Query Based Object Detection and Tracking by Ruppel, Felicia, Faion, Florian, Glaser, Claudius, Dietmayer, Klaus

“…Group regression is commonly used in 3D object detection to predict box parameters of similar classes in a joint head, aiming to benefit from similarities…”
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Deep Radar Sensor Models for Accurate and Robust Object Tracking by Ebert, Jasmin, Gumpp, Thomas, Munzner, Sebastian, Matskevych, Alex, Condurache, Alexandru P., Glaser, Claudius

“…Object tracking is one of the key challenges for perception systems of autonomous vehicles. Recursive Bayesian state estimation can be used to obtain object…”
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DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars by Drews, Florian, Feng, Di, Faion, Florian, Rosenbaum, Lars, Ulrich, Michael, Glaser, Claudius

“…We propose DeepFusion, a modular multi-modal architecture to fuse lidars, cameras and radars in different combinations for 3D object detection. Specialized…”
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Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection by Kosel, Michael, Schreiber, Marcel, Ulrich, Michael, Glaser, Claudius, Dietmayer, Klaus

“…LiDAR-based 3D object detection has become an essential part of automated driving due to its ability to localize and classify objects precisely in 3D. However,…”
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DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections by Ulrich, Michael, Glaser, Claudius, Timm, Fabian

“…This paper presents an novel object type classification method for automotive applications which uses deep learning with radar reflections. The method provides…”
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Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features by Herman, Michael, Wagner, Jorg, Prabhakaran, Vishnu, Moser, Nicolas, Ziesche, Hanna, Ahmed, Waleed, Burkle, Lutz, Kloppenburg, Ernst, Glaser, Claudius

“…Automated vehicles require a comprehensive understanding of traffic situations to ensure safe and anticipatory driving. In this context, the prediction of…”
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Transformers for Multi-Object Tracking on Point Clouds by Ruppel, Felicia, Faion, Florian, Glaser, Claudius, Dietmayer, Klaus

“…We present TransMOT, a novel transformer-based end-to-end trainable online tracker and detector for point cloud data. The model utilizes a cross- and a…”
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A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping by Schreiber, Marcel, Belagiannis, Vasileios, Glaser, Claudius, Dietmayer, Klaus

“…A common approach for modeling the environment of an autonomous vehicle are dynamic occupancy grid maps, in which the surrounding is divided into cells, each…”
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Self-Supervised Occupancy Grid Map Completion for Automated Driving by Stojcheski, Jugoslav, Nurnberg, Thomas, Ulrich, Michael, Michalke, Thomas, Glaser, Claudius, Geiger, Andreas

“…This paper investigates methods for enhancing the quality of occupancy grid maps (OGMs) using a combination of a self-supervised data generation procedure…”
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Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks by Niederlohner, Daniel, Ulrich, Michael, Braun, Sascha, Kohler, Daniel, Faion, Florian, Glaser, Claudius, Treptow, Andre, Blume, Holger

“…This paper presents a method to learn the Cartesian velocity of objects using an object detection network on automotive radar data. The proposed method is…”
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Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks by Schreiber, Marcel, Belagiannis, Vasileios, Glaser, Claudius, Dietmayer, Klaus

“…In this work, we tackle the problem of modeling the vehicle environment as dynamic occupancy grid map in complex urban scenarios using recurrent neural…”
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Transformers for Object Detection in Large Point Clouds by Ruppel, Felicia, Faion, Florian, Glaser, Claudius, Dietmayer, Klaus

“…We present TransLPC, a novel detection model for large point clouds that is based on a transformer architecture. While object detection with transformers has…”
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Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar by Ulrich, Michael, Braun, Sascha, Kohler, Daniel, Niederlohner, Daniel, Faion, Florian, Glaser, Claudius, Blume, Holger

“…This paper presents novel hybrid architectures that combine grid- and point-based processing to improve the detection performance and orientation estimation of…”
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Sensor Visibility Estimation: Metrics and Methods for Systematic Performance Evaluation and Improvement by Borger, Joachim, Zapf, Marc Patrick, Kopytjuk, Marat, Li, Xinrun, Glaser, Claudius

“…Sensor visibility is crucial for safety-critical applications in automotive, robotics, smart infrastructure and others: In addition to object detection and…”
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Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving by Michalke, Thomas, Wust, Colin, Feng, Di, Dolgov, Maxim, Glaser, Claudius, Timm, Fabian

“…Lane detection is an essential part of the perception sub-architecture of any automated driving (AD) or advanced driver assistance system (ADAS). When focusing…”
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An adaptive Normalized Gaussian Network and its application to online category learning by Gläser, Claudius, Joublin, Frank

“…In online applications, where training samples sequentially arise during execution, incremental learning schemes have to be applied. In this paper we propose…”
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