Full
Outline
Aiming at the low efficiency of defect analysis for intelligent cockpit applications, this paper proposes CockpitInsight, a four-stage automatic analysis framework based on Large Language Models (LLM). The framework comprises multimodal defect understanding, adaptive log filtering, context augmentation, and Chain-of-Thought root cause reasoning. The adaptive time-window filtering algorithm employs a core, extended and background three-zone layered strategy to compress 170 000 raw log lines to approximately 700 lines (99.6% compression ratio), resolving the contradiction between massive logs and LLM context window limitations. The LLM-summary-enhanced semantic retrieval method generates structured summaries for historical defects to bridge expression gaps, achieving high-quality cross-project semantic matching on an index of 1 054 defects. Validation data shows an end-to-end analysis time of 70 s (including video analysis), with generated reports containing complete reasoning chains and log evidence references, demonstrating the engineering feasibility of LLM-driven multimodal defect analysis in the intelligent cockpit domain.
155
22
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
