Improving collision detection in older adults using perceptual learning

Lemon, Carissa; DeLoss, Denton J.; Andersen, George J.

doi:10.1167/16.12.541

Cited by 2 publications

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“…By deriving the probability of each motion model, switched Kalman filter (KF) was used to further predict the vehicle trajectory within the next 1.5 s. However, their errors were found in the process of using this method to predict, resulting in inaccurate results. Lemon et al [8] tested whether perceptual learning training can improve the collision detection performance of vehicle subjects. Eight older subjects participated in the experiment, which lasted 7 days and was conducted for 1 hour a day.…”

Section: Introductionmentioning

confidence: 99%

Innovative Research of Trajectory Prediction Algorithm Based on Deep Learning in Car Network Collision Detection and Early Warning System

Wang

Alazzam

Alassery

et al. 2021

Mobile Information Systems

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Predicting the trajectories of neighboring vehicles is essential to evade or mitigate collision with traffic participants. However, due to inadequate previous information and the uncertainty in future driving maneuvers, trajectory prediction is a difficult task. Recently, trajectory prediction models using deep learning have been addressed to solve this problem. In this study, a method of early warning is presented using fuzzy comprehensive evaluation technique, which evaluates the danger degree of the target by comprehensively analyzing the target’s position, horizontal and vertical distance, speed of the vehicle, and the time of the collision. Because of the high false alarm rate in the early warning systems, an early warning activation area is established in the system, and the target state judgment module is triggered only when the target enters the activation area. This strategy improves the accuracy of early warning, reduces the false alarm rate, and also speeds up the operation of the early warning system. The proposed system can issue early warning prompt information to the driver in time and avoid collision accidents with accuracy up to 96%. The experimental results show that the proposed trajectory prediction method can significantly improve the vehicle network collision detection and early warning system.

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Section: Introductionmentioning

confidence: 99%

Innovative Research of Trajectory Prediction Algorithm Based on Deep Learning in Car Network Collision Detection and Early Warning System

Wang

Alazzam

Alassery

et al. 2021

Mobile Information Systems

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“…VPL has been extensively studied particularly in the past two decades mainly because of its close links to cortical plasticity (Gilbert et al, 2001; Yang & Maunsell, 2004; Schoups et al, 2001; Law and Gold, 2008; Yotsumoto et al, 2008; Byers & Serences, 2014; Shibata et al, 2017). VPL is also regarded as a promising tool with which to improve degraded or declined perceptual abilities due to visual diseases (Levi & Polat, 1996; Levi, 2009) or aging (Andersen et al, 2010; Yotsumoto et al, 2014, Lemon & DeLoss, 2016). Thus VPL is regarded as a vital subject in visual science.…”

Section: Introductionmentioning

confidence: 99%

Geometric-relationship specific transfer in visual perceptual learning

Tan,

Sasaki,

Watanabe

2023

Preprint

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Visual perceptual learning (VPL) is defined as long-term improvement on a visual task as a result of visual experience. In many cases, the improvement is highly specific to the location where the target is presented, which refers to location specificity. In the current study, we investigated the effect of a geometrical relationship between the trained location and an untrained location on transfer of VPL. We found that significant transfer occurs either diagonally or along a line passing the fixation point. This indicates that whether location specificity or location transfer occurs at least partially depends on the geometrical relationship between trained location and an untrained location.

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Improving collision detection in older adults using perceptual learning

Cited by 2 publications

References 0 publications

Innovative Research of Trajectory Prediction Algorithm Based on Deep Learning in Car Network Collision Detection and Early Warning System

Innovative Research of Trajectory Prediction Algorithm Based on Deep Learning in Car Network Collision Detection and Early Warning System

Geometric-relationship specific transfer in visual perceptual learning

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