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Fahrerassistenzsystem
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A fast analytical local path planning method with applications in parking scenarios
A novel context-aware system to improve driver’s field of view in urban traffic networks
Driver stress levels detection system using hyperparameter optimization
AEB Simulation Method Based on Vehicle Test Data for Accident Analysis of ADAS Vehicles
Context Aware Data Reduction for Highly Automated Driving
A robust communication protocol over ad hoc networks for collaborative driver assistance systems
Anomaly Detection and Quality Indicators for Digital Maps Used in ADAS Applications
The Contribution of Automated Driving to Road Traffic Safety – A Resilience Engineering Approach
Uncoupled Shared Control Designs for Teleoperation of Highly-Automated Vehicles
Learning Driver Behavior Models for Predicting Urban Traffic Situations
Defining object detection requirements for safe automated driving
State of the Art of Artificial Intelligence Approaches Toward Driverless Technology
On safety assessment of automated driving systems using simulation-based testing and formal methods
Perspective Transform-Based Lane Detection for Lane Keep Assistance
Evaluation of Level 2 Automated Driving Safety on Curved Sections
Emergency Collision Avoidance Method with Moving Obstacles Based on Piecewise Polynomial
Predicated on IoT, a Safe Intelligent Driver Assistance System in V2X Communication Environments
Road Curb Detection: ADAS for a Road Sweeper Vehicle
Non-Financial Losses Incurred by a Traffic Accident Perpetrator
Provident vehicle detection at night
Provident vehicle detection at night
Driving-Style Assessment from a Motion Sickness Perspective Based on Machine Learning Techniques
Determination of functional scenarios for intersection collisions
Vehicle Localization Kalman Filtering for Traffic Light Advisor Application in Urban Scenarios
A*-based trajectory planning in dynamic environments for autonomous vehicles
Semantic classification of urban traffic scenarios for the validation of automated driving systems
Motion planning for autonomous vehicles in partially observable environments
Motion planning for autonomous vehicles in partially observable environments
Multi-sensor environment perception for automated vehicles with semantic evidential grid maps
A methodology for validation of a radar simulation for virtual testing of autonomous driving
Path planning and path following for vehicles at intersections and in parking lots
Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids
Assessing the Environment Perception Reliability of Automated Vehicles
Severity Estimation for Risk-based Motion Planning