A drowsy driver detection system for heavy vehicles
Explore this paper's citation graph
- Type
- article
- Published
- 1998-10-31
- Cited by
- 228
- References
- 4
- OpenAlex
- https://openalex.org/W1495816349
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:60858559
Keywords
Computer science, Automotive engineering, Environmental science, Transport engineering, Real-time computing
References
Cited by
- Non-Invasive Techniques for Monitoring Human Fatigue
- Assessment of a Drowsy Driver Warning System for Heavy Vehicle Drivers: Final Report
- Online Learning Techniques for Improving Robot Navigation in Unfamiliar Domains
- Sitting behaviour-based pattern recognition for predicting driver fatigue
- From Aviation down to Vehicles - Integration of a Motions-Envelope as Safety Technology
- Modeling Slow Lead Vehicle Lane Changing
- Automated drowsiness detection for improved driving safety
- Eye “R” Glasses: Development of an Infrared Sensor System for Detecting the Human Body
- Benutzerzustandserfassung zur Regelung Kognitiver Assistenz an Bord von Marineschiffen
- Development and Assessment of a Driver Drowsiness Monitoring System
- Detecting sleepiness in truck drivers
- IP D10 Analysis and results of validation procedures for preventive and active ssafety functions
- A COMPREHENSIVE EXAMINATION OF NATURALISTIC LANE-CHANGES
- PERFORMANCE CONSIDERATIONS FOR RUN-OFF-ROAD COUNTERMEASURE SYSTEMS FOR CARS AND TRUCKS
- Fast MicroSleep and Yawning Detections to Assess Driver’s Vigilance Level
- Development of Tank Lorry Monitoring System for Safety Using Intelligent Computing Device
- Mitigating Drowsiness: Linking Detection to Mitigation
- Introduction of a full redundant architecture into a vehicle by integration of a virtual driver
- Intelligent transport systems (ITS) in passenger cars and methods for assessment of traffic safety impact: a literature review
- Vehicle control and drowsiness
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