Pith Number

pith:RN52RC5M

pith:2026:RN52RC5M675DD4BTNVVEHMHTDJ

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Hardware Utilization and Inference Performance of Edge Object Detection Under Fault Injection

Achim Rettberg, Faezeh Pasandideh, Mehdi Azarafza

TensorRT-optimized YOLO models on Jetson Nano keep GPU occupancy, temperature, power, and memory stable even under heavy input degradation from injected faults.

arxiv:2604.09631 v2 · 2026-03-19 · cs.DC · cs.AI

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Claims

C1strongest claim

Results show that across both tasks and both models the inference engines keep GPU occupancy stable, temperature rise under control, and power consumption within safe limits, while memory usage settles into a consistent release pattern after the initial warm-up phase. Object detection tends to show somewhat more variability in memory and thermal behavior, yet both tasks point to the same conclusion: the TensorRT pipelines hold up well even when the input data is heavily degraded.

C2weakest assumption

The faults synthesized using LLMs and LDMs based on JetBot platform data accurately represent the kinds of real-world input degradation that would occur in deployed autonomous driving systems.

C3one line summary

TensorRT YOLO pipelines on Jetson Nano keep GPU occupancy, power draw, and temperature stable even under heavy fault-injected inputs for object detection and lane following.

Receipt and verification

First computed	2026-05-20T00:00:37.821037Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8b7ba88bacf7fa31f0336d6a43b0f31a4c8f708e2837ff6040e9b180b465b861

Aliases

arxiv: 2604.09631 · arxiv_version: 2604.09631v2 · doi: 10.48550/arxiv.2604.09631 · pith_short_12: RN52RC5M675D · pith_short_16: RN52RC5M675DD4BT · pith_short_8: RN52RC5M

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/RN52RC5M675DD4BTNVVEHMHTDJ \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8b7ba88bacf7fa31f0336d6a43b0f31a4c8f708e2837ff6040e9b180b465b861

Canonical record JSON

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  "metadata": {
    "abstract_canon_sha256": "4b3019cd143256fdd2a191e33bb82c02eec42fe5cd4b41863b2e894a8e6bbaba",
    "cross_cats_sorted": [
      "cs.AI"
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2026-03-19T17:55:59Z",
    "title_canon_sha256": "df3832d83b0bd2990717daab00f635e901f1ca2c1bb7016c87ec18023ff4bf6e"
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    "kind": "arxiv",
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}