Anomaly Detection in Radar Data
In this work, we present an approach based on PointNets to detect anomalous radar targets. Modifying the PointNet-architecture driven by our task, we developed a novel grouping variant that contributes to a multi-form grouping module. Our method is evaluated on a real-world dataset in urban scenarios and shows promising results for the detection of anomalous radar targets.
T. Griebel, D. Authaler, M. Horn, M. Henning, M. Buchholz and K. Dietmayer, “Anomaly Detection in Radar Data Using PointNets,” 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 2667-2673.