/General Motors-Carnegie Mellon Autonomous Driving Collaborative Research Lab

General Motors-Carnegie Mellon Autonomous Driving Collaborative Research Lab

Portrait of General Motors-Carnegie Mellon Autonomous Driving Collaborative Research Lab
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The AD-CRL is a multi-disciplinary effort focused on studying, designing and implementing various technologies to make autonomous (driverless) vehicles both practical and affordable.

Displaying 4 Publications
Adaptive Kalman Filtering Methods for Low-Cost GPS/INS Localization for Autonomous Vehicles
Adam Werries and John M. Dolan

Tech. Report, CMU-RI-TR-16-18, Robotics Institute, Carnegie Mellon University, May, 2016
A Lightweight Simulator for Autonomous Driving Motion Planning Development
Tianyu Gu and John M. Dolan

Conference Paper, Proceedings of the 4th International Conference on Intelligent Systems and Applications (INTELLI 2015), pp. 94-97, October, 2015
Tunable and Stable Real-Time Trajectory Planning for Urban Autonomous Driving
Tianyu Gu, Jason Atwood, Chiyu Dong, John M. Dolan and Jin-Woo Lee

Conference Paper, Proceedings of the 2015 IEEE International Conference on Intelligent Robots and Systems (IROS), pp. 250-256, September, 2015
Context-Aware Tracking of Moving Objects for Distance Keeping
Wenda Xu, Jarrod M. Snider, Junqing Wei and John M. Dolan

Conference Paper, Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, pp. 1380-1385, June, 2015
2017-09-13T10:38:39+00:00