The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Makoto Itoh - One of the best experts on this subject based on the ideXlab platform.
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long term evaluation of drivers behavioral adaptation to an adaptive collision avoidance system
Human Factors, 2020Co-Authors: Husam Muslim, Makoto ItohAbstract:ObjectiveTaking human factors approach in which the human is involved as a part of the system design and evaluation process, this paper aims to improve driving performance and safety impact of driv...
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effectiveness and driver acceptance of a semi autonomous forward obstacle collision avoidance system
Applied Ergonomics, 2013Co-Authors: Makoto Itoh, Tatsuya Horikome, Toshiyuki Inagaki, Makoto Itoh, Tatsuya Horikome, Toshiyuki InagakiAbstract:Abstract This paper proposes a semi-autonomous collision avoidance system for the prevention of collisions between vehicles and pedestrians and objects on a road. The system is designed to be compatible with the human-centered automation principle, i.e., the decision to perform a maneuver to avoid a collision is made by the driver. However, the system is partly autonomous in that it turns the steering wheel independently when the driver only applies the brake, indicating his or her intent to avoid the obstacle. With a medium-fidelity driving simulator, we conducted an experiment to investigate the effectiveness of this system for improving safety in emergency situations, as well as its acceptance by drivers. The results indicate that the system effectively improves safety in emergency situations, and the semi-autonomous characteristic of the system was found to be acceptable to drivers.
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effectiveness and driver acceptance of a semi autonomous forward obstacle collision avoidance system
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2010Co-Authors: Makoto Itoh, Tatsuya Horikome, Toshiyuki InagakiAbstract:This paper investigates effectiveness for improving safety and driver acceptance of a semi-autonomous forward obstacle collision avoidance system. This system intervenes into control only when a dr...
Toshiyuki Inagaki - One of the best experts on this subject based on the ideXlab platform.
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effectiveness and driver acceptance of a semi autonomous forward obstacle collision avoidance system
Applied Ergonomics, 2013Co-Authors: Makoto Itoh, Tatsuya Horikome, Toshiyuki Inagaki, Makoto Itoh, Tatsuya Horikome, Toshiyuki InagakiAbstract:Abstract This paper proposes a semi-autonomous collision avoidance system for the prevention of collisions between vehicles and pedestrians and objects on a road. The system is designed to be compatible with the human-centered automation principle, i.e., the decision to perform a maneuver to avoid a collision is made by the driver. However, the system is partly autonomous in that it turns the steering wheel independently when the driver only applies the brake, indicating his or her intent to avoid the obstacle. With a medium-fidelity driving simulator, we conducted an experiment to investigate the effectiveness of this system for improving safety in emergency situations, as well as its acceptance by drivers. The results indicate that the system effectively improves safety in emergency situations, and the semi-autonomous characteristic of the system was found to be acceptable to drivers.
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effectiveness and driver acceptance of a semi autonomous forward obstacle collision avoidance system
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2010Co-Authors: Makoto Itoh, Tatsuya Horikome, Toshiyuki InagakiAbstract:This paper investigates effectiveness for improving safety and driver acceptance of a semi-autonomous forward obstacle collision avoidance system. This system intervenes into control only when a dr...
Michael Fitzharris - One of the best experts on this subject based on the ideXlab platform.
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triggering algorithm based on inevitable collision states for autonomous emergency braking aeb in motorcycle to car crashes
IEEE Intelligent Vehicles Symposium, 2015Co-Authors: Giovanni Savino, Julie Brown, Matteo Rizzi, Marco Pierini, Michael FitzharrisAbstract:This study presents a triggering algorithm for a collaborative, motorcycle-to-car collision avoidance system that slows down the car without input of the driver when the collision becomes imminent. The algorithm is based on the concept of inevitable state collisions. Example applications of the proposed algorithm were obtained via 2D computer simulations representing a data set of real crashes occurred in Italy, Sweden and Australia. Results indicated that the proposed method can apply to typical crash scenarios.
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triggering algorithm based on inevitable collision states for autonomous emergency braking aeb in motorcycle to car crashes
IEEE Intelligent Vehicles Symposium, 2015Co-Authors: Giovanni Savino, Julie Brown, Matteo Rizzi, Marco Pierini, Michael FitzharrisAbstract:This study presents a triggering algorithm for a collaborative, motorcycle-to-car collision avoidance system that slows down the car without input of the driver when the collision becomes imminent. The algorithm is based on the concept of inevitable state collisions. Example applications of the proposed algorithm were obtained via 2D computer simulations representing a data set of real crashes occurred in Italy, Sweden and Australia. Results indicated that the proposed method can apply to typical crash scenarios.
Tatsuya Horikome - One of the best experts on this subject based on the ideXlab platform.
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effectiveness and driver acceptance of a semi autonomous forward obstacle collision avoidance system
Applied Ergonomics, 2013Co-Authors: Makoto Itoh, Tatsuya Horikome, Toshiyuki Inagaki, Makoto Itoh, Tatsuya Horikome, Toshiyuki InagakiAbstract:Abstract This paper proposes a semi-autonomous collision avoidance system for the prevention of collisions between vehicles and pedestrians and objects on a road. The system is designed to be compatible with the human-centered automation principle, i.e., the decision to perform a maneuver to avoid a collision is made by the driver. However, the system is partly autonomous in that it turns the steering wheel independently when the driver only applies the brake, indicating his or her intent to avoid the obstacle. With a medium-fidelity driving simulator, we conducted an experiment to investigate the effectiveness of this system for improving safety in emergency situations, as well as its acceptance by drivers. The results indicate that the system effectively improves safety in emergency situations, and the semi-autonomous characteristic of the system was found to be acceptable to drivers.
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effectiveness and driver acceptance of a semi autonomous forward obstacle collision avoidance system
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2010Co-Authors: Makoto Itoh, Tatsuya Horikome, Toshiyuki InagakiAbstract:This paper investigates effectiveness for improving safety and driver acceptance of a semi-autonomous forward obstacle collision avoidance system. This system intervenes into control only when a dr...
Lutz Eckstein - One of the best experts on this subject based on the ideXlab platform.
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concept of an enhanced v2x pedestrian collision avoidance system with a cost function based pedestrian model
Traffic Injury Prevention, 2017Co-Authors: Jens Kotte, Carsten Schmeichel, Adrian Zlocki, Hauke Gathmann, Lutz EcksteinAbstract:ABSTRACTObjective: State-of-the-art collision avoidance and collision mitigation systems predict the behavior of pedestrians based on trivial models that assume a constant acceleration or velocity. New sources of sensor information—for example, smart devices such as smartphones, tablets, smartwatches, etc.—can support enhanced pedestrian behavior models. The objective of this article is the development and implementation of a V2Xpedestrian collision avoidance system that uses new information sources.Methods: A literature review of existing state-of-the-art pedestrian collision avoidance systems, pedestrian behavior models in advanced driver assistance systems (ADAS), and traffic simulations is conducted together with an analysis of existing studies on typical pedestrian patterns in traffic. Based on this analysis, possible parameters for predicting pedestrian behavior were investigated. The results led to new requirements from which a concept was developed and implemented.Results: The analysis of typical ...
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Concept of an enhanced V2X pedestrian collision avoidance system with a cost function–based pedestrian model
Traffic Injury Prevention, 2017Co-Authors: Jens Kotte, Carsten Schmeichel, Adrian Zlocki, Hauke Gathmann, Lutz EcksteinAbstract:Objective: State-of-the-art collision avoidance and collision mitigation systems predict the behavior of pedestrians based on trivial models that assume a constant acceleration or velocity. New sources of sensor informationfor example, smart devices such as smartphones, tablets, smartwatches, etc.can support enhanced pedestrian behavior models. The objective of this article is the development and implementation of a V2Xpedestrian collision avoidance system that uses new information sources.Methods: A literature review of existing state-of-the-art pedestrian collision avoidance systems, pedestrian behavior models in advanced driver assistance systems (ADAS), and traffic simulations is conducted together with an analysis of existing studies on typical pedestrian patterns in traffic. Based on this analysis, possible parameters for predicting pedestrian behavior were investigated. The results led to new requirements from which a concept was developed and implemented.Results: The analysis of typical pedestrian behavior patterns in traffic situations showed the complexity of predicting pedestrian behavior. Requirements for an improved behavior prediction were derived. A concept for a V2X collision avoidance system, based on a cost function that predicts pedestrian near future presence, and its implementation is presented. The concept presented considers several challenges such as information privacy, inaccuracies of the localization, and inaccuracies of the prediction.Conclusion: A concept for an enhanced V2X pedestrian collision avoidance system was developed and introduced. The concept uses new information sources such as smart devices to improve the prediction of the pedestrian's presence in the near future and considers challenges that come along with the usage of these information sources.