Zobrazeno 1 - 10
of 156
pro vyhledávání: '"Özgüner, Ümit"'
Predicting vulnerable road user behavior is an essential prerequisite for deploying Automated Driving Systems (ADS) in the real-world. Pedestrian crossing intention should be recognized in real-time, especially for urban driving. Recent works have sh
Externí odkaz:
http://arxiv.org/abs/2104.05485
Modeling mixed-traffic motion and interactions is crucial to assess safety, efficiency, and feasibility of future urban areas. The lack of traffic regulations, diverse transport modes, and the dynamic nature of mixed-traffic zones like shared spaces
Externí odkaz:
http://arxiv.org/abs/2101.06974
In mixed traffic scenarios, a certain number of pedestrians might coexist in a small area while interacting with vehicles. In this situation, every pedestrian must simultaneously react to the surrounding pedestrians and vehicles. Analytical modeling
Externí odkaz:
http://arxiv.org/abs/2101.03554
Learned pointcloud representations do not generalize well with an increase in distance to the sensor. For example, at a range greater than 60 meters, the sparsity of lidar pointclouds reaches to a point where even humans cannot discern object shapes
Externí odkaz:
http://arxiv.org/abs/2011.01404
Social distancing has been proven as an effective measure against the spread of the infectious COronaVIrus Disease 2019 (COVID-19). However, individuals are not used to tracking the required 6-feet (2-meters) distance between themselves and their sur
Externí odkaz:
http://arxiv.org/abs/2007.03578
Autor:
Yang, Dongfang, Özgüner, Ümit
In pedestrian-dense traffic scenarios, an autonomous vehicle may have to safely drive through a crowd of pedestrians while the vehicle tries to keep the desired speed as much as possible. This requires a model that can predict the motion of crowd ped
Externí odkaz:
http://arxiv.org/abs/1907.05178
Predicting the collective motion of a group of pedestrians (a crowd) under the vehicle influence is essential for the development of autonomous vehicles to deal with mixed urban scenarios where interpersonal interaction and vehicle-crowd interaction
Externí odkaz:
http://arxiv.org/abs/1902.00487
Publikováno v:
In IFAC PapersOnLine 2020 53(2):8118-8123
Publikováno v:
In IFAC PapersOnLine 2019 52(29):186-191
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