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» Learning to Drive a Real Car in 20 Minutes
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FBIT
2007
IEEE
15 years 4 months ago
Learning to Drive a Real Car in 20 Minutes
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
CHI
2005
ACM
15 years 10 months ago
Improving automotive safety by pairing driver emotion and car voice emotion
This study examines whether characteristics of a car voice can affect driver performance and affect. In a 2 (driver emotion: happy or upset) x 2 (car voice emotion: energetic vs. ...
Clifford Nass, Ing-Marie Jonsson, Helen Harris, Be...
FLAIRS
2003
14 years 11 months ago
Hybrid Intelligence for Driver Assistance
We report on our on-going effort to build an adaptive driver support system, Driver AdvocateTM , merging various AI techniques, in particular, agents, ontology, production systems...
Chung Hee Hwang, Noel Massey, Bradford W. Miller, ...
ICCV
1995
IEEE
15 years 1 months ago
Real-Time Obstacle Avoidance Using Central Flow Divergence and Peripheral Flow
The lure of using motion vision as a fundamental element in the perception of space drives this effort to use flow features as the sole cues for robot mobility. Real-time estimat...
David Coombs, Martin Herman, Tsai-Hong Hong, Maril...
75
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ICML
2005
IEEE
15 years 11 months ago
High speed obstacle avoidance using monocular vision and reinforcement learning
We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
Jeff Michels, Ashutosh Saxena, Andrew Y. Ng