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A Sensor Fusion Based Motion Planning Framework for Robust Autonomous Driving

Title
A Sensor Fusion Based Motion Planning Framework for Robust Autonomous Driving
Authors
Kwon, Seong KyungKim, Kyoung Dae
DGIST Authors
Kim, Kyoung Dae
Issue Date
2018-05-24
Citation
The 13th IeMeK Symposium on Embedded Technology
Type
Conference
Abstract
Over the last decade, there has been substantial technological advancements in the field of autonomous driving system. However, despite of such advancements, there are still many problems that need to be addressed for safer and more reliable autonomous driving. Amon them, one particular problem which is the main focus on this paper is the development of a robust and computationally efficient sensor fusion framework for drivable road detection. In this paper, we first discuss conventional techniques for autonomous driving, and then resent our approach toward the development of a sensor fusion and detection framework for robust autonomous driving.
URI
http://hdl.handle.net/20.500.11750/14982
Publisher
대한임베디드공학회
Related Researcher
Files:
There are no files associated with this item.
Collection:
Department of Electrical Engineering and Computer ScienceARC Lab2. Conference Papers


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