A Real-time Implementation of an Intersection Collision Avoidance System
TLDR
This paper presents a real-time implementation of a collision avoidance (CA) system that uses autonomous braking and model predictive control to assist drivers in avoiding collisions with other road users and is the first CA system that targets general vehicle collisions that has been implemented in a car.About:
This article is published in IFAC Proceedings Volumes.The article was published on 2011-01-01 and is currently open access. It has received 19 citations till now. The article focuses on the topics: Collision avoidance system & Obstacle avoidance.read more
Citations
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Journal ArticleDOI
A Probabilistic Framework for Decision-Making in Collision Avoidance Systems
TL;DR: A probabilistic framework is presented for jointly evaluating the driver acceptance of an intervention and the necessity thereof to automatically avoid a collision and the results show that the framework has appealing properties, both with respect to increasing the system benefit and to decreasing the risk of unnecessary interventions.
Model Predictive Control for Autonomous and Semiautonomous Vehicles
TL;DR: In this article, a hierarchical Model Predictive Controller (MPC) for lane keeping and obstacle avoidance of autonomous or semi-autonomous ground vehicles is presented. But the authors focus on the problem of designing and implementing MPC based control architectures.
Journal ArticleDOI
Opportunities and limitations for intersection collision intervention—A study of real world ‘left turn across path’ accidents
TL;DR: An AEB system evaluating the ego and conflict vehicle driver's possibilities to avoid a pending crash by either braking or steering was specified for application in various constellations of vehicle collisions.
Journal ArticleDOI
Market penetration of intersection AEB: Characterizing avoided and residual straight crossing path accidents
TL;DR: This study investigates the relationship between intersection AEB market penetration rates and avoidance of accidents and injuries in order to guide implementation strategies and determines which accidents would have been avoided through the use of an Intersection AEB system with different sensor field-of-views by means of re-simulating the pre-crash phase.
Predicting Safety Benefits of Automated Emergency Braking at Intersections - Virtual simulations based on real-world accident data
TL;DR: On-board sensing has a substantially higher capability to save lives than V2X communication during the period before full market penetration of both is reached, and moderate to fatal injuries could be avoided to an even higher extent.
References
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Journal ArticleDOI
Model predictive control: theory and practice—a survey
TL;DR: The flexible constraint handling capabilities of MPC are shown to be a significant advantage in the context of the overall operating objectives of the process industries and the 1-, 2-, and ∞-norm formulations of the performance objective are discussed.
Book
World Report on Road Traffic Injury Prevention
TL;DR: This paper is a synopsis of a major report by the WHO which collates information on crashes worldwide and summarises the key findings and the recommendations of the report.
Proceedings ArticleDOI
Collision Warning with Full Auto Brake and Pedestrian Detection - a practical example of Automatic Emergency Braking
TL;DR: This paper describes one of the latest AEB systems called Collision Warning with Full Auto Brake and Pedestrian Detection (CWAB-PD), which is the only system on the market that automatically can avoid accidents with pedestrians.
Journal ArticleDOI
Model-Based Threat Assessment for Avoiding Arbitrary Vehicle Collisions
TL;DR: A model-based algorithm that estimates how the driver of a vehicle can either steer, brake, or accelerate to avoid colliding with an arbitrary object and is computationally efficient and can be used to assist the driver in avoiding or mitigating collisions with all types of road users in all kinds of traffic scenarios.
Development and validation of functional definitions and evaluation procedures for collision warning/avoidance systems
TL;DR: This report describes activities undertaken by the Crash Avoidance Metrics Partnership to define and develop key pre-competitive enabling elements of FCW systems, which will enhance consistent countermeasure system implementation across manufacturers.
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