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Fahrerassistenzsystem
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Using Naturalistic Driving Research to Design, Test and Evaluate Driver Assistance Systems
Traffic Sign Detection and Recognition
Traffic Light Assistant Simulation: Foggy Weather
The Concept of Fusion for Clear Vision of Hazy Roads in ADAS
Soft-Error Effects on Graphics Processing Units
Safety and Comfort Systems: Introduction and Overview
Road Sign Detection Using Variants of YOLO and R-CNN: An Analysis from the Perspective of Bangladesh
Providing Context Awareness in the Smart Car Environment: State of the Art
Predicated on IoT, a Safe Intelligent Driver Assistance System in V2X Communication Environments
Multiple-Sensor Based Multiple-Object Tracking
Modelling Human Factors for Advanced Driving Assistance System Design
MAGMA: Mobility Analytics Generated from Metrics on ADAS
Laser Scanner and Camera Fusion for Automatic Obstacle Classification in ADAS Application
Lane Departure and Lane Keeping
Intelligent Vehicle Potential and Benefits
Fundamentals of Driver Assistance
Forward Collision Warning and Avoidance
Eye and Head Tracking for Focus of Attention Control in the Cockpit
Evolving Traffic Scenarios to Test Driver Assistance Systems in Simulations
Estimating Driver Attentiveness Through Head Pose Using Hybrid Geometric-Based Method
Embedded Vision in Advanced Driver Assistance Systems
Driver and Driving Experience in Cars
Cognitive Vehicle Design Guided by Human Factors and Supported by Bayesian Artificial Intelligence
Behavioral Adaptation and Acceptance
Autonomous Vehicles: Present Technological Traits and Scope for Future Innovation
A Strategic Approach to Intelligent Functions in Vehicles
A Proposal of Risk Indexes at Signalised Intersections for ADAS Aimed to Road Safety
An Overview of Real-Time Traffic Sign Detection and Classification
A Novel Deep ConvNets Architecture for Traffic Sign Recognition
A New Method and Results for Analyzing Decision-Making Processes in Automated Driving on Highways
A Framework for Real-Time Lane Detection Using Spatial Modelling of Road Surfaces