Identifying driver behaviors using trajectory features for vehicle navigation
We present a novel approach to automatically identify driver behaviors from vehicle
trajectories and use them for safe navigation of autonomous vehicles. We propose a novel …
trajectories and use them for safe navigation of autonomous vehicles. We propose a novel …
Autorvo: Local navigation with dynamic constraints in dense heterogeneous traffic
We present a novel algorithm for computing collision-free navigation for heterogeneous road-
agents such as cars, tricycles, bicycles, and pedestrians in dense traffic. Our approach …
agents such as cars, tricycles, bicycles, and pedestrians in dense traffic. Our approach …
Intention-aware motion planning with road rules
J Karlsson, J Tumova - 2020 IEEE 16th International …, 2020 - ieeexplore.ieee.org
We present an approach for intention-aware motion planning in an autonomous driving
scenario, where a vehicle aims to traverse a road segment as quickly as possible, while …
scenario, where a vehicle aims to traverse a road segment as quickly as possible, while …
Movement prediction hypotheses for pedestrians and trajectory planning for cooperative driving systems
It is a challenge to find a safe trajectory for automated vehicles in urban environments with
pedestrians. The prediction of future movements with 100% certainty is impossible, if the …
pedestrians. The prediction of future movements with 100% certainty is impossible, if the …
[PDF][PDF] Decision Making Under Uncertainty for Urban Driving
P Weingertner, A Autef, S Le Cleac'h - academia.edu
In this work we examine the problem of Motion Planning for Autonomous Driving-AD. We
must plan in a stochastic environment with several sources of uncertainties: imperfect …
must plan in a stochastic environment with several sources of uncertainties: imperfect …