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Autonomous Vehicles: Present Technological Traits and Scope for Future Innovation
Direct yaw moment control system based on driver behaviour recognition
Ethernet as an Emerging Trend in Vehicle Network Technology — Part II
Electronic Brake Control for Greater Active Safety
Virtual Integration in the Development Process of ADAS
An ensemble deep learning approach for driver lane change intention inference
Assistance System for Higher Fuel Efficiency
Automotive game-changers and their challenges from a chassis perspective
Lane Departure and Lane Keeping
Next-Gen Head-Up Display with Augmented Reality
Validation environment for function development and coverage of ADAS in the car development process
Road Curb Detection: ADAS for a Road Sweeper Vehicle
Adaptive cruise control design for active congestion avoidance
Improving Social Safety with Automobile Pilot Adroitness Analyzer
Scalable and Green: India’s future E/E Architectures
Analytical hybrid redundancy system for the fault tolerance of advanced driver assistance systems
Electronic horizon: Flexible implementation of predictive driver assistance features
Autonomous driving — what drives it?
International journal of vehicle autonomous systems : IJVAS
Accelerated and Cost Effective Deployment of V2X Solution
Motion control: key element in driver-based and automation-based driving strategies
Driving simulator application in commercial vehicle development
Proreta 3 Project — Automation, Safety with Assistance Systems
V2X Communication for Road Safety and Efficiency
Tomtom Seeks Growth Through Navigating Technology
Development of a Narrow Passage Driving System for Semi-trailer Truck by Using MPC
Visualisation Functions in Advanced Camera-Based Surround View Systems
Infrared systems for night vision driver assistance
New navigation technologies: The future of motoring
Connected Safety — A Challenge for IT Security
Supporting Event Prediction for Level 2 ADAS Users to Prevent Automation Surprises
Einführung hochautomatisiertes Fahren : 8. Tagung Fahrerassistenz : 22.-23. November 2017, München
Driver Distraction Detection Using Semi-Supervised Machine Learning
Road Sign Detection Using Variants of YOLO and R-CNN: An Analysis from the Perspective of Bangladesh