Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots
Motion planning is a computationally intensive and well-studied problem in autonomous robots. However, motion planning hardware accelerators (MPA) must be soft-error resilient for deployment in safety-critical applications, and blanket application of traditional mitigation techniques is ill-suited d...
| Hlavní autoři: | , , , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
ACM
2023
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| On-line přístup: | https://hdl.handle.net/1721.1/152618 |