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Ekim Yurtsever

2 accepted papers

2022

3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone

ECCV 2022poster

"State-of-the-art lidar-based 3D object detection methods rely on supervised learning and large labeled datasets. However, annotating lidar data is resource-consuming, and depending only on supervised learning limits the applicability of trained models. Self-supervised training strategies can allevi…

2022

Beyond the Limit Automated Driving with Performance Constrained Reachability Analysis

IROS 2022poster

Professional human drivers usually have more than one driving strategy to handle incoming traffic situations. These different strategies activate different performance characteristics of the vehicle, enabling the driver to minimize the risk in a variety of situations by optimizing the strategy selec…

Cited by 1SourceScholar