iurada/neutron-segmentation
Official repository of our work "Transient Fault Tolerant Semantic Segmentation for Autonomous Driving" accepted at ECCV UnCV Workshop 2024
This project helps automotive engineers and perception system developers build more reliable autonomous driving systems. It takes raw sensor data, processes it through semantic segmentation models, and produces more robust and confident environmental perceptions, even when hardware experiences transient faults. The end-user is an engineer working on autonomous vehicle perception.
No commits in the last 6 months.
Use this if you are developing or testing autonomous driving perception systems and need to improve their resilience against hardware-related transient faults.
Not ideal if your primary concern is algorithmic limitations or you are not working with autonomous driving applications.
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Python
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Last pushed
Sep 02, 2024
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