Benchmarking 2D Multi-Object Detection and Tracking Algorithms in Autonomous Vehicle Driving Scenarios

Self-driving vehicles must be controlled by navigation algorithms that ensure safe driving for passengers, pedestrians and other vehicle drivers. One of the key factors to achieve this goal is the availability of effective multi-object detection and tracking algorithms, which allow to estimate posit...

Descripción completa

Detalles Bibliográficos
Autores principales: Gragnaniello, Diego, Greco, Antonio, Saggese, Alessia, Vento, Mario, Vicinanza, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141924/
https://www.ncbi.nlm.nih.gov/pubmed/37112365
http://dx.doi.org/10.3390/s23084024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141924/
https://www.ncbi.nlm.nih.gov/pubmed/37112365
http://dx.doi.org/10.3390/s23084024

Ejemplares similares