scholarly journals A Novel Maneuver-Based Driving Envelope Generation Approach for Driving Safety Assessment

2021 ◽  
Vol 11 (10) ◽  
pp. 4702
Author(s):  
Bohan Jiang ◽  
Xiaohui Li ◽  
Yujun Zeng ◽  
Daxue Liu
Keyword(s):  
Driving Safety ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Simulation Experiments ◽  
Safe Driving ◽  
Human In The Loop ◽  
Envelope Method ◽  
Vehicle Motion ◽  
Assistance Systems ◽  
Real Vehicle

It is of utmost importance for advanced driver assistance systems to evaluate the risk of the current situation and make continuous decisions about what kind of evasive maneuver can be initiated. The purpose of this paper is to establish efficient indicators to evaluate the risk of candidate driving maneuvers for a human-in-the-loop vehicle. A novel safe driving envelope generation method is proposed, which takes various constraints into consideration, including the human operation, vehicle motion limits, and collision avoidance with road boundary and obstacles. The efficiency of the proposed method is validated by simulation experiments and real vehicle tests. The results show that the feasibility of candidate driving maneuvers can be efficiently determined by computing the driving envelope, and the proposed driving envelope method can be easily implemented for real-time applications.

scholarly journals AFFECTIVE-SOUND EFFECTS ON DRIVING BEHAVIOUR

Transport ◽  
2013 ◽  
Vol 29 (1) ◽  
pp. 100-106 ◽  
Author(s):  
Jesús Serrano ◽  
Leandro Luigi Di Stasi ◽  
Alberto Megías ◽  
Andrés Catena
Keyword(s):  
Driving Safety ◽  
Auditory Signal ◽  
Road Accidents ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Emotional Quality ◽  
Sound Effects ◽  
Technological Developments ◽  
Assistance Systems

Recent technological developments in active advanced driver assistance systems and in-car infotainment devices have contributed to reducing the number and severity of road accidents as well as improving and simplifying driver experience. However, these systems may impact driving performance in undesired ways, especially when emotionally-charged stimuli are used as warning signals. Emotional distraction can be a serious danger, causing delays in information processing, and reducing driving safety below minimal acceptable levels. Here we study the effect of emotionally-laden auditory signals on the speed of concurrent driving decisions. We distinguished two categories of behavioural responses: ‘urgent’ vs ‘evaluative’. In the experiments reported here participants were quicker to evaluate whether a traffic scene was risky or not after hearing an emotionally-charged auditory stimulus than after a neutral one. However, urgent (braking) responses to the same scenes were not affected by the emotional quality of the auditory signal. Based on these results, we give preliminary advice on the design of guidelines for in-car interfaces particularly in the field of affective in-car computing.

Application of Advanced Driver-Assistance Systems in Police Vehicles

2021 ◽  
pp. 036119812110171
Author(s):  
Vanessa Nasr ◽  
David Wozniak ◽  
Farzaneh Shahini ◽  
Maryam Zahabi
Keyword(s):  
Police Officers ◽  
Motor Vehicle ◽  
Detection System ◽  
Driving Safety ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Advanced Driver Assistance Systems ◽  
Assistance Systems ◽  
Police Vehicles ◽  
The Impact

Motor vehicle crashes are one of the leading causes of injuries and deaths for police officers. Advanced driver-assistance systems (ADAS) are driving control systems that have been found to improve civilian drivers’ safety; however, the impact of ADAS on police officers’ driving safety has yet to be investigated thoroughly. Disparities between driver states and tasks performed while driving between police and civilian drivers necessitate this distinction. This study identified the types of ADAS used in police vehicles, their impact on officers’ safety, and proposed potential future ADAS features to be implemented in police vehicles. A systematic literature review was conducted using Google Scholar, Compendex, Web of Science, Transport Research International Documentation (TRID), and Google Patents databases to identify the most prevalent police vehicles used in the U.S., available ADAS features in those vehicles, and the impact of ADAS on officers’ safety. A list of recommended ADAS features was developed based on the review of literature, authors’ knowledge and experience in the field, and the findings of an online survey with 73 police officers. Results indicated the addition of multiple ADAS features including the front vehicle detection system, intersection collision avoidance, evasive steering systems, left turn assist, traffic sign detection system, traffic jam assist, two lane and lane-ending detection, wrong-way alert, and autonomous highway driving features have the potential to improve officer safety and performance while driving. However, there was a void of studies focused on ADAS effects on police driving safety which needs to be addressed in future investigations.

Incorporating Operator States in Driver Assistance Systems Control

2009 ◽  
Author(s):  
Jeffrey Breugelmans ◽  
Yingzi Lin ◽  
Hua Cai
Keyword(s):  
User Interaction ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Human In The Loop ◽  
Systems And Control ◽  
Assistance Systems ◽  
Output Behavior ◽  
And Control ◽  
Distinctive Role

In recent years, the human-in-the-loop principle has been an emerging topic throughout the field of dynamic systems and control. Within this field, Human Assistance Systems (HAS) have become increasingly important and the driving environment, in particular, tends to play a distinctive role. Previous studies mainly aimed at making assistance systems as efficient as possible, reducing the possibility for errors (collisions) to a great extent. Due to this performance-oriented approach, however, former systems tend to take up the role of a strict supervisor, rather than that of a guide-like operator assistant. This research focuses on expanding the HAS’ contribution to the control loop by incorporating both the operator state and an additional assistance level into the system’s output behavior, thereby aiming to advance the systems in terms of user interaction and satisfaction. As a result, system efficiency will be maintained, while simultaneously sustaining the operator’s perceived level of control.

scholarly journals Towards Mindless Stress Regulation in Advanced Driver Assistance Systems: A Systematic Review

2020 ◽  
Vol 11 ◽  
Author(s):  
Adolphe J. Béquet ◽  
Antonio R. Hidalgo-Muñoz ◽  
Christophe Jallais
Keyword(s):  
Systematic Review ◽  
Stress Reduction ◽  
Driving Safety ◽  
Future Research ◽  
Response Modulation ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Stress Regulation ◽  
Advanced Driver Assistance Systems ◽  
Assistance Systems

Background: Stress can frequently occur in the driving context. Its cognitive effects can be deleterious and lead to uncomfortable or risky situations. While stress detection in this context is well developed, regulation using dedicated advanced driver-assistance systems (ADAS) is still emergent.Objectives: This systematic review focuses on stress regulation strategies that can be qualified as “subtle” or “mindless”: the technology employed to perform regulation does not interfere with an ongoing task. The review goal is 2-fold: establishing the state of the art on such technological implementation in the driving context and identifying complementary technologies relying on subtle regulation that could be applied in driving.Methods: A systematic review was conducted using search operators previously identified through a concept analysis. The patents and scientific studies selected provide an overview of actual and potential mindless technology implementations. These are then analyzed from a scientific perspective. A classification of results was performed according to the different stages of emotion regulation proposed by the Gross model.Results: A total of 47 publications were retrieved, including 21 patents and 26 studies. Six of the studies investigated mindless stress regulation in the driving context. Patents implemented strategies mostly linked to attentional deployment, while studies tended to investigate response modulation strategies.Conclusions: This review allowed us to identify several ADAS relying on mindless computing technologies to reduce stress and better understand the underlying mechanisms allowing stress reduction. Further studies are necessary to better grasp the effect of mindless technologies on driving safety. However, we have established the feasibility of their implementation as ADAS and proposed directions for future research in this field.

scholarly journals Using synthetic basis feature descriptor for motion estimation

2018 ◽  
Vol 15 (5) ◽  
pp. 172988141880383
Author(s):  
Dong Zhang ◽  
Alok Desai ◽  
Dah-Jye Lee
Keyword(s):  
Motion Estimation ◽  
Moving Objects ◽  
Feature Descriptor ◽  
Motion Field ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Slowing Down ◽  
Vision Sensors ◽  
Vehicle Motion ◽  
Assistance Systems

Development of advanced driver assistance systems has become an important focus for automotive industry in recent years. Within this field, many computer vision–related functions require motion estimation. This article discusses the implementation of a newly developed SYnthetic BAsis (SYBA) feature descriptor for matching feature points to generate a sparse motion field for analysis. Two motion estimation examples using this sparse motion field are presented. One uses motion classification for monitoring vehicle motion to detect abrupt movement and to provide a rough estimate of the depth of the scene in front of the vehicle. The other one detects moving objects for vehicle surrounding monitoring to detect vehicles with movements that could potentially cause collisions. This algorithm detects vehicles that are speeding up from behind, slowing down in the front, changing lane, or passing. Four videos are used to evaluate these algorithms. Experimental results verify SYnthetic BAsis’ performance and the feasibility of using the resulting sparse motion field in embedded vision sensors for motion-based driver assistance systems.

scholarly journals Design of Lightweight Driver-Assistance System for Safe Driving in Electric Vehicles

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4761 ◽  
Author(s):  
Shabir Ahmad ◽  
Sehrish Malik ◽  
Dong-Hwan Park ◽  
DoHyeun Kim
Keyword(s):  
Electric Vehicles ◽  
Driver Assistance System ◽  
Cost Driver ◽  
Assistance System ◽  
Battery Life ◽  
Human Beings ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Safe Driving ◽  
Assistance Systems

Electric-vehicle technology is an emerging area offering several benefits such as economy due to low running costs. Electric vehicles can also help to significantly reduce CO 2 emission, which is a vital factor for environmental pollution. Modern vehicles are equipped with driver-assistance systems that facilitate drivers by offloading some of the tasks a driver does while driving. Human beings are prone to errors. Therefore, accidents and fatalities can happen if the driver fails to perform a particular task within the deadline. In electric vehicles, the focus has always been to optimize the power and battery life, and thus, any additional hardware can affect their battery life significantly. In this paper, the design of driver-assistance systems has been introduced to automate and assist in some of the vital tasks, such as a braking system, in an optimized manner. We revamp the idea of the traditional driver-assistance system and propose a generic lightweight system based on the leading factors and their impact on accidents. We model tasks for these factors and simulate a low-cost driver-assistance system in a real-time context, where these scenarios are investigated and tasks schedulability is formally proved before deploying them in electric vehicles. The proposed driver-assistance system offers many advantages. It decreases the risk of accidents and monitors the safety of driving. If, at some point, the risk index is above a certain threshold, an automated control algorithm is triggered to reduce it by activating different actuators. At the same time, it is lightweight and does not require any dedicated hardware, which in turn has a significant advantage in terms of battery life. Results show that the proposed system not only is accurate but also has a very negligible effect on energy consumption and battery life.

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