Three decades of driver assistance systems: Review and future perspectives
K Bengler, K Dietmayer, B Farber… - IEEE Intelligent …, 2014 - ieeexplore.ieee.org
This contribution provides a review of fundamental goals, development and future
perspectives of driver assistance systems. Mobility is a fundamental desire of mankind …
perspectives of driver assistance systems. Mobility is a fundamental desire of mankind …
The role of machine vision for intelligent vehicles
B Ranft, C Stiller - IEEE Transactions on Intelligent vehicles, 2016 - ieeexplore.ieee.org
Humans assimilate information from the traffic environment mainly through visual
perception. Obviously, the dominant information required to conduct a vehicle can be …
perception. Obviously, the dominant information required to conduct a vehicle can be …
Part-based pedestrian detection and feature-based tracking for driver assistance: real-time, robust algorithms, and evaluation
Detecting pedestrians is still a challenging task for automotive vision systems due to the
extreme variability of targets, lighting conditions, occlusion, and high-speed vehicle motion …
extreme variability of targets, lighting conditions, occlusion, and high-speed vehicle motion …
Experimental evaluation of a game-theoretic human driver steering control model
X Na, DJ Cole - IEEE transactions on cybernetics, 2022 - ieeexplore.ieee.org
Automated vehicle steering control systems have great potential to improve road safety. The
development of such systems calls for mathematical driver models able to represent human …
development of such systems calls for mathematical driver models able to represent human …
SafeVRU: A research platform for the interaction of self-driving vehicles with vulnerable road users
This paper presents our research platform Safe VRU for the interaction of self-driving
vehicles with Vulnerable Road Users (VRUs, ie, pedestrians and cyclists). The paper details …
vehicles with Vulnerable Road Users (VRUs, ie, pedestrians and cyclists). The paper details …
Decision Tree‐Based Maneuver Prediction for Driver Rear‐End Risk‐Avoidance Behaviors in Cut‐In Scenarios
Predicting driver rear‐end risk‐avoidance maneuvers in cut‐in scenarios, especially
dangerous precrash scenarios, benefits the customization of automatic driving, particularly …
dangerous precrash scenarios, benefits the customization of automatic driving, particularly …
Comparative analysis of emergency evasive steering for long combination vehicles
This study provides a simulation-based comparative analysis of the distance and time
needed for long combination vehicles (LCVs)-namely, A-doubles with 28-, 33-, and 48-ft …
needed for long combination vehicles (LCVs)-namely, A-doubles with 28-, 33-, and 48-ft …
A system for traffic violation detection
This paper describes the framework and components of an experimental platform for an
advanced driver assistance system (ADAS) aimed at providing drivers with a feedback about …
advanced driver assistance system (ADAS) aimed at providing drivers with a feedback about …
Vehicle collision avoidance motion planning strategy using artificial potential field with adaptive multi‐speed scheduler
This study presents an adaptive motion planning strategy for automated vehicle collision
avoidance systems to be associated with the variation of collision speed region based on …
avoidance systems to be associated with the variation of collision speed region based on …
Evaluation of three different interaction designs for an automatic steering intervention
A Schieben, S Griesche, T Hesse, N Fricke… - … research part F: traffic …, 2014 - Elsevier
The study was designed to test three different interaction designs for an automatic steering
intervention against a baseline. Forty participants participated in a driving simulator study …
intervention against a baseline. Forty participants participated in a driving simulator study …