Dean Pomerleau
Papers
22
Total Citations
1,154
H-Index
13
About
Dean Pomerleau is a pioneering figure in autonomous vehicle research, best known for developing the ALVINN (Autonomous Land Vehicle In a Neural Network) system at Carnegie Mellon University. His core research areas include neural network-based perception, robot navigation, and adaptive control for autonomous driving. Pomerleau's most significant contribution is demonstrating that artificial neural networks could learn to steer a vehicle by observing a human driver, a breakthrough detailed in his highly cited 1993 paper "Neural Network Perception for Mobile Robot Guidance" (483 citations). This work laid the foundation for end-to-end learning approaches in autonomous driving. His subsequent research expanded into knowledge-based training methods, selective visual attention, and tactical driving systems like SAPIENT, which integrated high-level reasoning with low-level sensor constraints. With over 1,000 total citations across his key publications, Pomerleau's influence extends from his foundational ALVINN work to later developments in semi-autonomous telepresence. His research at CMU's Navlab project helped establish the feasibility of neural network-based autonomous driving, inspiring a generation of researchers in robotics and computer vision.
Research Focus
Key Achievements
Top Papers
- 1Neural Network Perception for Mobile Robot Guidance483 citations · 1993
- 2Neural Network Vision for Robot Driving101 citations · 1997
- 3
- 4Neural Network Based Autonomous Navigation80 citations · 1990
- 5Progress in neural network-based vision for autonomous robot driving66 citations · 2003
- 6
- 7Life in the Fast Lane: The Evolution of an Adaptive Vehicle Control System54 citations · 1996
- 8
- 9Effective Semi-autonomous Telepresence26 citations · 2012
- 10Adaptive Intelligent Vehicle Modules for Tactical Driving26 citations · 1996