Pith. sign in

REVIEW

Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2107.01110 v1 pith:F4IVFAPB submitted 2021-07-02 cs.RO cs.AI

classification cs.ROcs.AI
keywords autonomousdecision-makingvehiclesmethodstechnologylearning-basedapplicationsfuture
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Autonomous vehicles have a great potential in the application of both civil and military fields, and have become the focus of research with the rapid development of science and economy. This article proposes a brief review on learning-based decision-making technology for autonomous vehicles since it is significant for safer and efficient performance of autonomous vehicles. Firstly, the basic outline of decision-making technology is provided. Secondly, related works about learning-based decision-making methods for autonomous vehicles are mainly reviewed with the comparison to classical decision-making methods. In addition, applications of decision-making methods in existing autonomous vehicles are summarized. Finally, promising research topics in the future study of decision-making technology for autonomous vehicles are prospected.

Discussion (0). Continue with ORCID to comment.

Pith tools