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Collision Avoidance for Automated Vehicles Using Occupancy Grid Map and Belief Theory

Abstract

dc:description.abstract

This thesis discusses occupancy grid map, collision avoidance system and belief theory, and propose some of the latest and the most effective method such as predictive occupancy grid map, risk evaluation model and OGM role in the belief function theory with the approach of decision uncertainty according to the environment perception with the degree of belief in the driving command acceptability. Finally, how the proposed models mitigate or prevent the occurrence of the collision.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Soltani, Reza
Advisor dc:contributor.advisor
  • Li, Lingxi

Subjects

dc:subject × 3

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:scholarworks.indianapolis.iu.edu:1805/26434

Chain of custody

source
Harvested from
IUPUI
Base URL
scholarworks.indianapolis.iu.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Soltani, Reza. Collision Avoidance for Automated Vehicles Using Occupancy Grid Map and Belief Theory. 2021. https://hdl.handle.net/1805/26434