Design of an automatic obstacle detection system for trains

dc.contributor.authorOjangole, Solomon
dc.contributor.authorOranit, Emmanuel
dc.date.accessioned2024-09-29T17:36:27Z
dc.date.available2024-09-29T17:36:27Z
dc.date.issued2024
dc.descriptionDissertationen_US
dc.description.abstractThis project aims to develop an automated obstacle detection system for trains. Utilizing advanced machine learning algorithms and computer vision methods, the system will process real-time data from onboard sensors to detect potential track obstructions. The automated model will improve train safety and efficiency by delivering timely alerts and aiding in proactive obstacle avoidance. By incorporating innovative technologies, this project intends to advance rail transportation and tackle crucial safety issues related to railway track obstacles.en_US
dc.description.sponsorshipEng. Kigozi John W. ; Mrs. Nabwire Lucy ; Busitema Universityen_US
dc.identifier.citationOjangole, S. & Oranit, E. (2024). Design of an automatic obstacle detection system for trains. Busitema University. Unpublished dissertationen_US
dc.identifier.urihttps://doi.org/10.60682/y26s-rm69
dc.language.isoenen_US
dc.publisherBusitema Universityen_US
dc.subjectAutomatic obstacleen_US
dc.subjectDetection systemen_US
dc.subjectTrainsen_US
dc.titleDesign of an automatic obstacle detection system for trainsen_US
dc.typeOtheren_US

Department of Electrical Engineering