MST-YOLO: Small Object Detection Model for Autonomous Driving
MST-YOLO: Small Object Detection Model for Autonomous Driving
About this item
Full title
Author / Creator
Li, Mingjing , Liu, Xinyang , Chen, Shuang , Yang, Le , Du, Qingyu , Han, Ziqing and Wang, Junshuai
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Autonomous vehicles operating in public transportation spaces must rapidly and accurately detect all potential hazards in their surroundings to execute appropriate actions such as yielding, lane changing, and overtaking. This capability is a prerequisite for achieving advanced autonomous driving. In autonomous driving scenarios, distant objects are...
Alternative Titles
Full title
MST-YOLO: Small Object Detection Model for Autonomous Driving
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_338130a8ecee4148949f298a0eb121ae
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_338130a8ecee4148949f298a0eb121ae
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24227347
