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Obstacle avoidance for railways autonomous vehicles
Last updated on 17 May 2024 8:17
Aim “enabling trustworthy obstacle avoidance for autonomous navigation in railway environment.”
Objectives:
• Construct customized dataset for railway environment.
• Investigate and develop transfer learning techniques to enhance detection of railway objects.
• Investigate and develop mutli-task learning for object detection and tracking in railway environment.
• Evaluate and validate algorithm performance with...
Author(s):
UK Rail PhD List
Organisation(s):
Cranfield University ;
2024
United Kingdom
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