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08/28/2023
Group Regression for Query Based Object Detection and Tracking
Group regression is commonly used in 3D object detection to predict box ...
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11/11/2022
Sensor Visibility Estimation: Metrics and Methods for Systematic Performance Evaluation and Improvement
Sensor visibility is crucial for safety-critical applications in automot...
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10/26/2022
Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?
Transformers have recently been utilized to perform object detection and...
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09/30/2022
Transformers for Object Detection in Large Point Clouds
We present TransLPC, a novel detection model for large point clouds that...
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09/26/2022
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars
We propose DeepFusion, a modular multi-modal architecture to fuse lidars...
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07/07/2022
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks
This paper presents a method to learn the Cartesian velocity of objects ...
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05/31/2022
Transformers for Multi-Object Tracking on Point Clouds
We present TransMOT, a novel transformer-based end-to-end trainable onli...
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05/03/2022
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar
This paper presents novel hybrid architectures that combine grid- and po...
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02/09/2022
A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping
A common approach for modeling the environment of an autonomous vehicle ...
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12/15/2020
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features
Automated vehicles require a comprehensive understanding of traffic situ...
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11/17/2020
Dynamic Occupancy Grid Mapping with Recurrent Neural Networks
Modeling and understanding the environment is an essential task for auto...
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10/19/2020
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
This paper presents an novel object type classification method for autom...
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04/16/2020