no code implementations • 11 Dec 2023 • M. Manzour, A. Ballardini, R. Izquierdo, M. A. Sotelo
Other works assessed the risk made by the surrounding vehicles only by considering their existence around the target vehicle, or by considering the distance and relative velocities between them and the target vehicle as two separate numerical features.
no code implementations • 1 Jun 2021 • A. Quintanar, D. Fernández-Llorca, I. Parra, R. Izquierdo, M. A. Sotelo
Understanding the behavior of road users is of vital importance for the development of trajectory prediction systems.
no code implementations • 18 May 2021 • J. Lorenzo, I. Parra, M. A. Sotelo
Understanding pedestrian crossing behavior is an essential goal in intelligent vehicle development, leading to an improvement in their security and traffic flow.
no code implementations • 11 Sep 2020 • A. Quintanar, R. Izquierdo, I. Parra, D. Fernández-Llorca, M. A. Sotelo
While driving on highways, every driver tries to be aware of the behavior of surrounding vehicles, including possible emergency braking, evasive maneuvers trying to avoid obstacles, unexpected lane changes, or other emergencies that could lead to an accident.
no code implementations • 1 Sep 2020 • A. Hernández, S. Woo, H. Corrales, I. Parra, E. Kim, D. F. Llorca, M. A. Sotelo
Road detection and segmentation is a crucial task in computer vision for safe autonomous driving.
no code implementations • 26 Aug 2020 • R. Izquierdo, A. Quintanar, I. Parra, D. Fernandez-Llorca, M. A. Sotelo
Different network configurations have been tested, and prediction error up to three seconds ahead is in the order of the representation resolution.