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