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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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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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04/21/2022
Understanding the Domain Gap in LiDAR Object Detection Networks
In order to make autonomous driving a reality, artificial neural network...
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12/25/2020