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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