Designing active safety features for personal mobility devices (PMD)
Rider’s gaze data may contain a rich source of information on a rider’s intent to overtake. This relationship has been widely studied for car drivers. To enhance the safety of Personal Mobility Device (PMD) riders and pedestrians in their paths, this project targets to predict the direction of turni...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/77548 |