scholarly journals Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5582
Author(s):  
Sofia Sánchez–Mateo ◽  
Elisa Pérez–Moreno ◽  
Felipe Jiménez
Keyword(s):  
Driving Simulator ◽  
Tracking System ◽  
Road Transport ◽  
Assistance System ◽  
Internal Variables ◽  
Mental Load ◽  
V2v Communications ◽  
Interface Definition ◽  
System Prototype ◽  
Alternative Solutions

Merging is one of the most critical scenarios that can be found in road transport. In this maneuver, the driver is subjected to a high mental load due to the large amount of information he handles, while making decisions becomes a crucial issue for their safety and those in adjacent vehicles. In previous works, it was studied how the merging maneuver affected the cognitive load required for driving by means of an eye tracking system, justifying the proposal of a driver assistance system for the merging maneuver on highways. This paper presents a merging assistance system based on communications between vehicles, which allows vehicles to share internal variables of position and speed and is implemented on a mobile device located inside the vehicle. The system algorithm decides where and when the vehicle can start the merging maneuver in safe conditions and provides the appropriate information to the driver. Parameters and driving simulator tests are used for the interface definition to develop the less intrusive and demanding one. Afterward, the system prototype was installed in a real passenger car and tests in real scenarios were conducted with several drivers to assess usability and mental load. Comparisons among alternative solutions are shown and effectiveness is assessed.

scholarly journals Examination of Driver Visual and Cognitive Responses to Billboard Elicited Passive Distraction Using Eye-Fixation Related Potential

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1471
Author(s):  
Yongxiang Wang ◽  
William Clifford ◽  
Charles Markham ◽  
Catherine Deegan
Keyword(s):  
Visual Information ◽  
Driving Simulator ◽  
Tracking System ◽  
Eye Gaze ◽  
Driver Distraction ◽  
Experimental Results ◽  
Human Information Processing ◽  
Cognitive Responses ◽  
Information Processing Model ◽  
Eye Fixation

Distractions external to a vehicle contribute to visual attention diversion that may cause traffic accidents. As a low-cost and efficient advertising solution, billboards are widely installed on side of the road, especially the motorway. However, the effect of billboards on driver distraction, eye gaze, and cognition has not been fully investigated. This study utilises a customised driving simulator and synchronised electroencephalography (EEG) and eye tracking system to investigate the cognitive processes relating to the processing of driver visual information. A distinction is made between eye gaze fixations relating to stimuli that assist driving and others that may be a source of distraction. The study compares the driver’s cognitive responses to fixations on billboards with fixations on the vehicle dashboard. The measured eye-fixation related potential (EFRP) shows that the P1 components are similar; however, the subsequent N1 and P2 components differ. In addition, an EEG motor response is observed when the driver makes an adjustment of driving speed when prompted by speed limit signs. The experimental results demonstrate that the proposed measurement system is a valid tool in assessing driver cognition and suggests the cognitive level of engagement to the billboard is likely to be a precursor to driver distraction. The experimental results are compared with the human information processing model found in the literature.

Study on Driver and Vehicle System With Lane-Tracking Control System Using Steering Torque Input

2001 ◽  
Author(s):  
Masao Nagai ◽  
Hidehisa Yoshida ◽  
Kiyotaka Shitamitsu ◽  
Hiroshi Mouri
Keyword(s):  
Tracking Control ◽  
High Speed ◽  
Driving Simulator ◽  
Tracking System ◽  
Torque Control ◽  
Steering Wheel ◽  
Control Input ◽  
Steering Angle ◽  
Lane Tracking ◽  
Steering Torque

Abstract Although the vast majority of lane-tracking control methods rely on the steering wheel angle as the control input, a few studies have treated methods using the steering torque as the input. When operating vehicles especially at high speed, drivers typically do not grip the steering wheel tightly to prevent the angle of the steering wheel from veering off course. This study proposes a new steering assist system for a driver not with the steering angle but the steering torque as the input and clarifies the characteristics and relative advantages of the two approaches. Then using a newly developed driving simulator, characteristics of human drivers and the lane-tracking system based on the steering torque control are investigated.

Driver Speed Control Modeling for Predictive Braking Assistance System Based on Risk Potential in Intersections

2014 ◽  
Vol 26 (5) ◽  
pp. 628-637 ◽  
Author(s):  
Pongsathorn Raksincharoensak ◽  
◽  
Yuta Akamatsu ◽  
Katsumi Moro ◽  
Masao Nagai ◽  
...  
Keyword(s):  
Potential Field ◽  
Driving Simulator ◽  
Near Miss ◽  
Assistance System ◽  
Repulsive Potential ◽  
Pedestrian Movement ◽  
Basic Parameters ◽  
Scenario Model ◽  
Control Modeling ◽  
Risk Potential

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260005/12.jpg"" width=""300"" />Predictive braking assistance system</div> This paper describes the assessment of a predictive braking assistance system, which is done using a driving simulator that reconstructs near-miss incident scenarios relevant to pedestrians. An autonomous braking assistance algorithm for collision avoidance is designed based on pedestrian movement prediction and an artificial risk potential field. A virtual spring connecting the vehicle and the pedestrian is used to determine the repulsive potential field and the intensity of the deceleration. The feasibility of the proposed braking assistance algorithm is examined through experiments using the driving simulator and a comparison to actual driving data. Near-miss incident data relevant to pedestrians in intersections are analyzed to get the basic parameters of a crash scenario model relevant to pedestrians. Driving simulator experiments are used to verify the effectiveness of the proposed system. </span>

Design of Automatic Solar Tracking System Prototype to Maximize Solar Energy Extraction

2020 ◽  
Author(s):  
Jonahs Adejoh Idoko ◽  
Olusegun Bamidele Bamgbade ◽  
Isah Ndakara Abubakar ◽  
Timothy Ifeanyi Onyechokwa ◽  
Babatunde Araoye Adegboye ◽  
...  
Keyword(s):  
Solar Energy ◽  
Tracking System ◽  
Energy Extraction ◽  
Solar Tracking ◽  
System Prototype

A New Approach for a Real-Time Non-Invasive Fatigue Assessment System for Automated Driving

2018 ◽  
Vol 62 (1) ◽  
pp. 1669-1673 ◽  
Author(s):  
Anna Feldhütter ◽  
Alexander Feierle ◽  
Luis Kalb ◽  
Klaus Bengler
Keyword(s):  
Real Time ◽  
Driving Simulator ◽  
Tracking System ◽  
Assessment System ◽  
Automated Driving ◽  
New Approach ◽  
Fatigue Assessment ◽  
Non Invasive ◽  
State Dependent ◽  
Invasive Method

Vehicles with conditional automation will be introduced to the market in the next few years. However, the effect of fatigue as one component of the driver state on the take-over performance still needs to be quantified. To examine this question, a valid, real-time capable and preferably non-invasive method for assessing fatigue while driving automatically is required. For this purpose, we developed an objective driver fatigue assessment system based on the data of a commercial remote eye-tracking system. The fatigue assessment system fuses various metrics based on eyelid opening and head movement. In a validation study with 12 participants in a driving simulator, the fatigue assessment system achieved a sensitivity of 90.0 % and a specificity of 99.2 %. This approach makes a fatigue-state-dependent study design possible and can also provide a basis for advancing existing fatigue assessment systems in automated vehicles.

Sign in / Sign up

Export Citation Format

Share Document