1 code implementation • 19 Jan 2021 • Niels Ole Salscheider
The assignment heuristic relies on four metrics: An embedding vector that describes the appearance of objects and can be used to re-identify them, a displacement vector that describes the object movement between two consecutive video frames, the Mahalanobis distance between the Kalman filter states and the new detections, and a class distance.
1 code implementation • 28 Mar 2020 • Alexander Naumann, Laura Dörr, Niels Ole Salscheider, Kai Furmans
Our approach is motivated by logistics, where this assumption is valid and refined planes can be used to perform robust object detection without the need for supervised learning.
1 code implementation • 18 Feb 2020 • Niels Ole Salscheider
Most state of the art object detectors output multiple detections per object.
1 code implementation • 6 May 2019 • Niels Ole Salscheider
Both object detection in and semantic segmentation of camera images are important tasks for automated vehicles.