T Khurana, P Hu, D Held… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Predicting how the world can evolve in the future is crucial for motion planning in autonomous systems. Classical methods are limited because they rely on costly human …
The research community has increasing interest in autonomous driving research, despite the resource intensity of obtaining representative real world data. Existing self-driving …
B Agro, Q Sykora, S Casas… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
A self-driving vehicle (SDV) must be able to perceive its surroundings and predict the future behavior of other traffic participants. Existing works either perform object detection followed …
In order to plan a safe maneuver an autonomous vehicle must accurately perceive its environment, and understand the interactions among traffic participants. In this paper, we …
P Wu, S Chen, DN Metaxas - Proceedings of the IEEE/CVF …, 2020 - openaccess.thecvf.com
The ability to reliably perceive the environmental states, particularly the existence of objects and their motion behavior, is crucial for autonomous driving. In this work, we propose an …
R Greer, N Deo, M Trivedi - IEEE Robotics and Automation …, 2021 - ieeexplore.ieee.org
Predicting a vehicle's trajectory is an essential ability for autonomous vehicles navigating through complex urban traffic scenes. Bird's-eye-view roadmap information provides …
S Malla, B Dariush, C Choi - Proceedings of the IEEE/CVF …, 2020 - openaccess.thecvf.com
We consider the problem of predicting the future trajectory of scene agents from egocentric views obtained from a moving platform. This problem is important in a variety of domains …
Forecasting the long-term future motion of road actors is a core challenge to the deployment of safe autonomous vehicles (AVs). Viable solutions must account for both the static …
Vision-centric autonomous driving has recently raised wide attention due to its lower cost. Pre-training is essential for extracting a universal representation. However current vision …