Data-driven anomaly identification for cameras and lidars mounted on vehicles
Cyber-physical systems (CPS) have advanced rapidly and fueled the growth of automated driving in electric vehicles (EVs) that rely on AI and machine learning for functions like image recognition and navigation. However, the integration of sensors such as cameras, LiDARs, and radars makes these syste...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/181562 |