The Alleviation of Perceptual Blindness During Driving in Urban Areas Guided by Saccades Recommendation

Abstract

In advanced industrial applications, computational visual attention models (CVAMs) could predict visual attention very similarly to actual human attention allocation. This has been used as a very important component of technology in advanced driver assistance systems (ADAS). Given that the biological inspiration of the driving-related CVAMs could be obtained from skilled drivers in complex driving conditions, in which the driver's attention is constantly directed at various salient and informative visual stimuli by alternating the eye fixations via saccades to drive safely, this paper proposes a saccade recommendation strategy to enhance the driving safety under urban road environment, particularly when the driver's vision is often impaired by the visual crowding. The altered and directed saccades are collected and optimized by extracting four innate features from human dynamic vision. A neural network isdesigned to classify preferable saccades to reduce perceptual blindness due to visual crowding under urban scenes. A state-of-the-art CVAM is firstly adopted to localize the predicted eye fixation locations (EFLs) in driving video clips. Besides, human subjects' gaze at the recommended EFLs is measured via an eye-tracker. The time delays between the predicted EFLs and drivers' EFLs are analyzed under different driving conditions, followed by the time delays between the predicted EFLs and the driver's hand control. The visually safe margin is then measured by mediating the driving speed and the total delay. Experimental results demonstrate that the recommended saccades can effectively reduce the amount of perceptual blindness, which is known to be of help to further improve road driving safety [1].

Identification of localized defects and fault size estimation of taper roller bearing (NBC_30205) with signal processing using the Shannon entropy method in MATLAB for automobile industries applications

“…There was no restricting force on the roller until another roller touches the trailing edge of the defect. The highest amplitude has been observed at the exit point also known as re stressing event [ 55 , 56 , 57 ]. The rolling element at the entrance and exit are high-frequency events and can easily be spotted using CWT.…”

Safety Comparison of Simple and Spiral Horizontal Curves Based on Side Friction Factor Dynamic Modeling

“…Simulation devices and vehicles can also be adopted in incorporation with the Internet of Tings (IoT), vehicle-mounted equipment, and sensors to develop the potential of driver motion and physiological signal monitoring [41][42][43][44][45]. Various human factors may cause a driver to leave the travel lane and afect the occurrence of accidents, such as driver's fatigue and inattention, which can be investigated in future research studies [46,47]. Since the transportation sector is the second largest contributor to CO 2 emissions, a study can also be performed to evaluate the impact of pollutants on safety in continuation of this study [48,49].…”

Dependable and reliable cloud‐based architectures for vehicular communications: A systematic literature review

“…81 Also, if infrastructure exists, Cooperation as a Service (CaaS) enables drivers to acquire services with very little infrastructure, and if no infrastructure resides, V2V communications. 82 CaaS employs equipment in which the user specifies their choices for a service, and automobiles registered to the same service assist the subscriber by providing critical service information or broadcasting information to the network. 32,83 The VCC uses vehicle processing power and distributes data processing over many cars engaging in the cloud for CaaS.…”

“…135 In order to accommodate the increase in mobile traffic and cut down on latency, both of which are considered to be inherent issues with cloud computing, fog computing has emerged as a possible option. 82 Delay-sensitive mobile apps are given dependable access because fog services, which include computing, storage, and networking, are housed close to end users (at the network's edge). But occasionally, especially during peak hours, the increasing number of customer demands outpace the fog computing capacity, leading to severe performance degradation.…”

“…Additionally, information services and peer‐to‐peer applications are suited for usage as SaaS 81 . Also, if infrastructure exists, Cooperation as a Service (CaaS) enables drivers to acquire services with very little infrastructure, and if no infrastructure resides, V2V communications 82 . CaaS employs equipment in which the user specifies their choices for a service, and automobiles registered to the same service assist the subscriber by providing critical service information or broadcasting information to the network 32,83 .…”