Stochastic Analysis of Stereo Quantization Error
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to AI Robotics
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Monocular Pedestrian Detection: Survey and Experiments
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Intelligent Transportation Systems
Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing
Expert Systems with Applications: An International Journal
Controller for urban intersections based on wireless communications and fuzzy logic
IEEE Transactions on Intelligent Transportation Systems
Survey of Pedestrian Detection for Advanced Driver Assistance Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expert Systems with Applications: An International Journal
Pedestrian detection and tracking in an urban environment using a multilayer laser scanner
IEEE Transactions on Intelligent Transportation Systems
Intelligent automatic overtaking system using vision for vehicle detection
Expert Systems with Applications: An International Journal
A fuzzy aid rear-end collision warning/avoidance system
Expert Systems with Applications: An International Journal
Combination of Feature Extraction Methods for SVM Pedestrian Detection
IEEE Transactions on Intelligent Transportation Systems
Pedestrian Protection Systems: Issues, Survey, and Challenges
IEEE Transactions on Intelligent Transportation Systems
A fuzzy logic controller for an ABS braking system
IEEE Transactions on Fuzzy Systems
Adjustable linear models for optic flow based obstacle avoidance
Computer Vision and Image Understanding
Hi-index | 12.05 |
Intelligent systems designed to reduce highway fatalities have been widely applied in the automotive sector in the last decade. Of all users of transport systems, pedestrians are the most vulnerable in crashes as they are unprotected. This paper deals with an autonomous intelligent emergency system designed to avoid collisions with pedestrians. The system consists of a fuzzy controller based on the time-to-collision estimate - obtained via a vision-based system - and the wheel-locking probability - obtained via the vehicle's CAN bus - that generates a safe braking action. The system has been tested in a real car - a convertible Citroen C3 Pluriel - equipped with an automated electro-hydraulic braking system capable of working in parallel with the vehicle's original braking circuit. The system is used as a last resort in the case that an unexpected pedestrian is in the lane and all the warnings have failed to produce a response from the driver.