103 citations · 200 across the 41 of their papers we have counts for
6 papers · 1 filter
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections
David Isele, Akansel Cosgun
We view intersection handling on autonomous vehicles as a reinforcement learning problem, and study its behavior in a transfer learning setting. We show that a network trained on o…
Context Aware Robot Navigation using Interactively Built Semantic Maps
Akansel Cosgun, Henrik Christensen
We discuss the process of building semantic maps, how to interactively label entities in them, and how to use them to enable context-aware navigation behaviors in human environment…
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections
David Isele, Akansel Cosgun, Kikuo Fujimura
We analyze how the knowledge to autonomously handle one type of intersection, represented as a Deep Q-Network, translates to other types of intersections (tasks). We view intersect…
Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California
Akansel Cosgun, Lichao Ma, Jimmy Chiu +6
Each year, millions of motor vehicle traffic accidents all over the world cause a large number of fatalities, injuries and significant material loss. Automated Driving (AD) has pot…
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning
David Isele, Reza Rahimi, Akansel Cosgun +2
Providing an efficient strategy to navigate safely through unsignaled intersections is a difficult task that requires determining the intent of other drivers. We explore the effect…
Belief State Planning for Autonomously Navigating Urban Intersections
Maxime Bouton, Akansel Cosgun, Mykel J. Kochenderfer
Urban intersections represent a complex environment for autonomous vehicles with many sources of uncertainty. The vehicle must plan in a stochastic environment with potentially rap…