The Development and Evaluation of Icons for Side Obstacle Warning Systems

2002 ◽  
Vol 46 (22) ◽  
pp. 1794-1798 ◽  
Author(s):  
Tina Brunetti Sayer
Keyword(s):  
Driver Assistance System ◽  
Blind Spot ◽  
Production Test ◽  
Lane Change ◽  
Warning Systems ◽  
Driver Assistance ◽  
New Class ◽  
Test Methodology ◽  
Spot Detection ◽  
Recent Developments

A new class of driver assistance system under development is Side Obstacle Warning (SOW). These systems are designed to alert drivers to the presence of vehicles in adjacent lanes. Two forms of SOW systems being developed are Blind Spot Detection and Lane Change Warning. Both are relatively recent developments, and therefore have few established icons. A production test methodology was employed to develop icons that convey the functionality of the two SOW systems. Thirty drivers were asked to draw icons that conveyed the Blind Spot Detection and Lane Change Warning functions. The illustrations that resulted were categorized according to similarities, from which nine icons were developed for each Blind Spot Detection and Lane Change Warning. Sixty drivers rank ordered those icons in an appropriateness ranking test. The rank orders were analyzed, and the most promising icons for both systems are presented.

scholarly journals Acceptance of Transportation Technologies by Aging Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 555-555
Author(s):  
Neil Charness ◽  
Dustin Souders ◽  
Ryan Best ◽  
Nelson Roque ◽  
JongSung Yoon ◽  
...  
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Detection System ◽  
Blind Spot ◽  
Driving Performance ◽  
Older Drivers ◽  
Crash Risk ◽  
Warning Systems ◽  
Risk Of Death ◽  
Spot Detection

Abstract Older adults are at greater risk of death and serious injury in transportation crashes which have been increasing in older adult cohorts relative to younger cohorts. Can technology provide a safer road environment? Even if technology can mitigate crash risk, is it acceptable to older road users? We outline the results from several studies that tested 1) whether advanced driver assistance systems (ADAS) can improve older adult driving performance, 2) older adults’ acceptance of ADAS and Autonomous Vehicle (AV) systems, and 3) perceptions of value for ADAS systems, particularly for blind-spot detection systems. We found that collision avoidance warning systems improved older adult simulator driving performance, but not lane departure warning systems. In a young to middle-aged sample the factor “concern with AV” showed age effects with older drivers less favorable. Older drivers, however, valued an active blind spot detection system more than younger drivers.

Smartphone based driver assistance system for coordinated lane change

2015 ◽  
Author(s):  
Remya Murugesh ◽  
Ullas Ramanadhan ◽  
Nirmala Vasudevan ◽  
Alin Devassy ◽  
Dilip Krishnaswamy ◽  
...  
Keyword(s):  
Driver Assistance System ◽  
Assistance System ◽  
Lane Change ◽  
Driver Assistance

Safe and optimal lane-change path planning for automated driving

2020 ◽  
pp. 095440702091373
Author(s):  
Yang Ding ◽  
Weichao Zhuang ◽  
Liangmo Wang ◽  
Jingxing Liu ◽  
Levent Guvenc ◽  
...  
Keyword(s):  
Driver Assistance System ◽  
Travel Distance ◽  
Lane Change ◽  
Change Model ◽  
Longitudinal Displacement ◽  
Driver Assistance ◽  
Automated Driving ◽  
Lateral Velocity ◽  
Quintic Polynomial ◽  
Reference Trajectories

This paper proposes an integrated lane-change trajectory planning method for advanced driver assistance system of connected and automated vehicles. First, the time-based quintic polynomial automated lane-change model is presented, which could adjust longitudinal and lateral velocity simultaneously. By tuning the lane-change duration and longitudinal displacement in the lane-change model, the lane-change reference trajectories satisfying the demands of safety, lane-change duration, travel distance, and comfort were derived under traffic-free condition. All feasible reference trajectories compose a trajectory map, which includes different driving situations, such as quick and comfortable or sudden and safe lane change. Second, the lane-change constraints induced by surrounding vehicles are introduced. The effects of surrounding vehicles on the lane-change performance are investigated by adjusting the speeds and initial gaps of preceding and rear vehicles. In addition, the initial velocity of the host vehicle is optimized to maximize the area of the trajectory map to enable a safer lane change. Finally, within the derived trajectory map, an optimal lane-change trajectory eliminating potential collisions is calculated by minimizing the lane-change duration, travel distance, driving comfort, and fuel consumption.

Risk Predictive Driver Assistance System for Collision Avoidance in Intersection Right Turns

2018 ◽  
Vol 30 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Yohei Fujinami ◽  
Pongsathorn Raksincharoensak ◽  
Dirk Ulbricht ◽  
Rolf Adomat ◽  
◽  
...  
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Driver Assistance System ◽  
Blind Spot ◽  
Assistance System ◽  
Driver Assistance ◽  
Emergency Braking ◽  
Safety Function ◽  
Vehicle Velocity ◽  
Right Turns

Most traffic accidents that result in injuries or fatalities occur in intersections. In Japan, where cars drive on the left, most of such accidents involve cars that are turning right. This situation serves as the basis of the development of our Advanced Driver Assistance System (ADAS) for intersection right turns. This research focuses on the scenario in which an object darts out from the blind spot created by heavy oncoming traffic as a vehicle is making an intersection right turn. When this happens, even if the driver brakes as hard as possible or an active safety function such as the Autonomous Emergency Braking System (AEBS) applies the brakes, the natural limits of physical friction may make it impossible to avoid a collision. To improve traffic safety given the limited potential of physical friction, this research seeks to develop a risk-predictive right-turn assistance system. The system predicts potential oncoming objects and reduces the vehicle velocity in advance. Blind corners can be detected by on-board sensors without requiring information from surrounding infrastructure. This paper presents a right-turn assistance system that avoids conflict with the AEBS in emergencies by decelerating the ego vehicle to a safe velocity.

A blind spot detection and warning system based on millimeter wave radar for driver assistance

Optik ◽  
2017 ◽  
Vol 135 ◽  
pp. 353-365 ◽  
Author(s):  
Guiru Liu ◽  
Mingzheng Zhou ◽  
Lulin Wang ◽  
Hai Wang ◽  
Xiansheng Guo
Keyword(s):  
Millimeter Wave ◽  
Warning System ◽  
Blind Spot ◽  
Driver Assistance ◽  
Millimeter Wave Radar ◽  
Spot Detection ◽  
Wave Radar
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