1 code implementation • 5 Feb 2024 • Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M. Trivedi, Alois C. Knoll
We propose ActiveAnno3D, an active learning framework to select data samples for labeling that are of maximum informativeness for training.
no code implementations • 16 Jan 2024 • Christian Creß, Walter Zimmer, Nils Purschke, Bach Ngoc Doan, Sven Kirchner, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois C. Knoll
To the best of our knowledge, no targetless calibration between event-based and RGB cameras can handle multiple moving objects, nor does data fusion optimized for the domain of roadside ITS exist.
no code implementations • 15 Jun 2023 • Walter Zimmer, Christian Creß, Huu Tung Nguyen, Alois C. Knoll
Our dataset consists of 4. 8k images and point clouds with more than 57. 4k manually labeled 3D boxes.
no code implementations • 13 Apr 2022 • Christian Creß, Walter Zimmer, Leah Strand, Venkatnarayanan Lakshminarasimhan, Maximilian Fortkord, Siyi Dai, Alois Knoll
As part of the first set of data, which we describe in this paper, we provide camera and LiDAR frames from two overhead gantry bridges on the A9 autobahn with the corresponding objects labeled with 3D bounding boxes.