Conference item icon

Conference item

Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios

Abstract:

This paper discusses ongoing work in demonstrating research in mobile autonomy in challenging driving scenarios. In our approach, we address fundamental technical issues to overcome critical barriers to assurance and regulation for largescale deployments of autonomous systems. To this end, we present how we build robots that (1) can robustly sense and interpret their environment using traditional as well as unconventional sensors; (2) can assess their own capabilities; and (3), vitally in the...

Expand abstract
Publication status:
Accepted
Peer review status:
Peer reviewed

Actions


Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Subgroup:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Subgroup:
Engineering Science
ORCID:
0000-0001-6121-5839
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Subgroup:
Engineering Science
ORCID:
0000-0001-6782-6657
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Subgroup:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Subgroup:
Engineering Science
Publisher:
IEEE Publisher's website
Acceptance date:
2020-04-24
Event title:
IEEE Intelligent Vehicles Symposium (IV), Workshop on Ensuring and Validating Safety for Automated Vehicles (EVSAV)
Event location:
Virtual event
Event website:
https://2020.ieee-iv.org/
Event start date:
2020-10-20T00:00:00Z
Event end date:
2020-10-23T00:00:00Z
Pubs id:
1102812
Local pid:
pubs:1102812

Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP