Data driven extraction of challenging situations for autonomous vehicles
Autonomous vehicles or Self-Driven Vehicles (SDVs) are becoming increasingly common in Singapore and for a wide variety of applications – from first-and-last-mile commutes to logistics. The areas of deployment are similarly diverse, ranging from docks to housing estates and highways. This variance i...
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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/10356/77665 |