M Priisalu, A Pirinen, C Paduraru… - … on Robot Learning, 2022 - proceedings.mlr.press
There exist several datasets for developing self-driving car methodologies. Manually collected datasets impose inherent limitations on the variability of test cases and it is …
C Paduraru, M Paduraru - Proceedings of the 6th International ICSE …, 2022 - dl.acm.org
The goal of this paper is to provide a framework for simulating pedestrian motion in simulation applications by using real-world examples of human motion. This process has …
M Priisalu, C Paduraru, C Smichisescu - Scandinavian Conference on …, 2023 - Springer
Recently there has been an increase in the number of available autonomous vehicle (AV) models. To evaluate and compare the safety of the various models the AVs need to be …
M Priisalu - arXiv preprint arXiv:2309.06313, 2023 - arxiv.org
It is difficult to perform 3D reconstruction from on-vehicle gathered video due to the large forward motion of the vehicle. Even object detection and human sensing models perform …
Y Yang, K Kujanpää, IA Babadi… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Developing reliable autonomous driving algorithms poses challenges in testing, particularly when it comes to safety-critical traffic scenarios involving pedestrians. An open question is …
In the attached video Supplemenatry_Scenarios_with_Diverse_P… for_AV_Testing. mp4 a number of sample trajectories are shown. The video contains sample trajectories where the …