BI Sighencea, RI Stanciu, CD Căleanu - Sensors, 2021 - mdpi.com
Pedestrian trajectory prediction is one of the main concerns of computer vision problems in the automotive industry, especially in the field of advanced driver assistance systems. The …
Rapid advances in technology for highly automated vehicles (HAVs) have raised concerns about coexistence of HAVs and human road users. Although there is a long tradition of …
P Kaur, S Taghavi, Z Tian, W Shi - 2021 Fourth International …, 2021 - ieeexplore.ieee.org
Rigorous and comprehensive testing plays a key role in training self-driving cars to handle a variety of situations that they are expected to see on public roads. The physical testing on …
M Koschi, M Althoff - IEEE Transactions on Intelligent Vehicles, 2020 - ieeexplore.ieee.org
Provably safe motion planning for automated road vehicles must ensure that planned motions do not result in a collision with other traffic participants. This is a major challenge in …
Motion control algorithms in the presence of pedestrians are critical for the development of safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on …
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
LM Hulse - Transportation research part F: traffic psychology and …, 2023 - Elsevier
Researchers have predicted that “vulnerable road users”(VRUs) such as pedestrians will feel less vulnerable and thus take more risks around autonomous vehicles (AVs) than …
Localisation and navigation of autonomous vehicles (AVs) in static environments are now solved problems, but how to control their interactions with other road users in mixed traffic …