GB/T 41797-2022
Performance requirements and test methods for driver attention monitoring system
| Issuing body | GB |
|---|---|
| Committees | State Administration for Market Regulation (SAMR) / Standardization Administration of China (SAC) |
| First issued | 2022 |
| Latest revision | 2022 |
| Status | active |
| Category | national |
| Topics | distraction_detection_algorithms, dms_validation, drowsiness_detection_algorithms, gaze_based_attention_detection |
| Reference | https://www.codeofchina.com/standard/GBT41797-2022.html |
Scope
Specifies performance requirements and test methods for driver attention monitoring systems on road vehicles. Covers detection of driver state including fatigue (e.g., prolonged eye closure) and distraction behaviours (abnormal head pose, phone use, etc.) and the associated driver alerting for M and N category vehicles.
Related Papers (20)
- Exploratory Development of Algorithms for Determining Driver Attention Status · 2024 · paper relates to standard · 0.75 (embedding)
- Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · paper relates to standard · 0.75 (embedding)
- Real-time monitoring of driver distraction: State-of-the-art and future insights · 2023 · paper relates to standard · 0.73 (embedding)
- Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · paper relates to standard · 0.72 (embedding)
- Vision-based method for detecting driver drowsiness and distraction in driver monitoring system ↗ · 2011 · paper relates to standard · 0.72 (embedding)
- Comparison of Two Eye-Gaze Based Real-Time Driver Distraction Detection Algorithms in a Small-Scale Field Operational Test · 2009 · paper relates to standard · 0.71 (embedding)
- Potential for driver attention monitoring system development · 1984 · paper relates to standard · 0.70 (embedding)
- Development and Assessment of a Driver Drowsiness Monitoring System · 2012 · paper relates to standard · 0.70 (embedding)
- Visual Monitoring of Driver Inattention · 2008 · paper relates to standard · 0.70 (embedding)
- Potential for driver attention monitoring system development · 1985 · paper relates to standard · 0.70 (embedding)
- An Evaluation of Emerging Driver Fatigue Detection Measures and Technologies [Tech Brief] · 2009 · paper relates to standard · 0.70 (embedding)
- A Comprehensive Review of Driver’s Attention and the Evaluation Methods · 2021 · paper relates to standard · 0.69 (embedding)
- An Evaluation of Emerging Driver Fatigue Detection Measures and Technologies [Final report] · 2009 · paper relates to standard · 0.69 (embedding)
- RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT ↗ · 1994 · paper relates to standard · 0.68 (embedding)
- Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm · 2022 · paper relates to standard · 0.68 (embedding)
- Driver Inattention Monitoring System for Intelligent Vehicles: A Review ↗ · 2011 · paper relates to standard · 0.68 (embedding)
- Driver Behavior Analysis for Safe Driving: A Survey ↗ · 2015 · paper relates to standard · 0.68 (embedding)
- Vehicle-Based Drowsy Driver Detection: Current Status and Future Prospects · 1994 · paper relates to standard · 0.68 (embedding)
- Vehicle-Based Drowsy Driver Detection: Current Status And Future Prospects · 1994 · paper relates to standard · 0.68 (embedding)
- Driver Monitoring System Using Computer Vision for Real-Time Detection of Fatigue, Distraction and Emotion via Facial Landmarks and Deep Learning. · 2026 · paper relates to standard · 0.68 (embedding)