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Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules

Year: 2020

Type: conference-paper

Source: IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI: 10.1109/cvpr42600.2020.00968

Authors: Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John Canny

Institution: University of California, Berkeley

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3035337382

FWCI: 4.44

Cites: 48

Cited by: 44

Related to: 10