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Found 4 papers, 0 papers with code
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
The proposed multi-scale KPPillarsBEV architecture outperforms the baseline by 5. 37% and the previous state of the art by 2. 88% in Car AP4. 0 (average precision for a matching threshold of 4 meters) on the nuScenes validation set.
Improved Calibration Procedure for Wireless Inertial Measurement Units without Precision Equipment
In this work, we present several improvements to Tedaldi's method, both on the algorithmic level and the calibration procedure: adaptions for low noise accelerometers, a calibration helper object, and packet loss compensation for wireless calibration.
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks
Labels for the Cartesian velocities or contiguous sequences, which are expensive to obtain, are not required.
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar
This paper presents novel hybrid architectures that combine grid- and point-based processing to improve the detection performance and orientation estimation of radar-based object detection networks.
