scholarly journals Design Method of ADAS for Urban Electric Vehicle Based on Virtual Prototyping

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Katarzyna Jezierska-Krupa ◽  
Wojciech Skarka
Keyword(s):  
Design Method ◽  
Virtual Prototyping ◽  
Real Life ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Smart Power ◽  
The Road ◽  
Unique Method ◽  
On The Road ◽  
Positive Effect

Since 2012, the Smart Power Team has been actively participating in the Shell Eco-marathon, which is a worldwide competition. From the very beginning, the team has been working to increase driver’s safety on the road by developing Advanced Driver Assistance Systems. This paper presents unique method for designing ADAS systems in order to minimize the costs of the design phase and system implementation and, at the same time, to maximize the positive effect the system has on driver and vehicle safety. The described method is based on using virtual prototyping tool to simulate the system performance in real-life situations. This approach enabled an iterative design process, which resulted in reduction of errors with almost no prototyping and testing costs.

scholarly journals Implementing a Gaze Tracking Algorithm for Improving Advanced Driver Assistance Systems

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1480
Author(s):  
Agapito Ledezma ◽  
Víctor Zamora ◽  
Óscar Sipele ◽  
M. Paz Sesmero ◽  
Araceli Sanchis
Keyword(s):  
Traffic Accidents ◽  
Tracking System ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Gaze Tracking ◽  
Advanced Driver Assistance Systems ◽  
The Road ◽  
Assistance Systems ◽  
On The Road ◽  
Driver Distractions

Car accidents are one of the top ten causes of death and are produced mainly by driver distractions. ADAS (Advanced Driver Assistance Systems) can warn the driver of dangerous scenarios, improving road safety, and reducing the number of traffic accidents. However, having a system that is continuously sounding alarms can be overwhelming or confusing or both, and can be counterproductive. Using the driver’s attention to build an efficient ADAS is the main contribution of this work. To obtain this “attention value” the use of a Gaze tracking is proposed. Driver’s gaze direction is a crucial factor in understanding fatal distractions, as well as discerning when it is necessary to warn the driver about risks on the road. In this paper, a real-time gaze tracking system is proposed as part of the development of an ADAS that obtains and communicates the driver’s gaze information. The developed ADAS uses gaze information to determine if the drivers are looking to the road with their full attention. This work gives a step ahead in the ADAS based on the driver, building an ADAS that warns the driver only in case of distraction. The gaze tracking system was implemented as a model-based system using a Kinect v2.0 sensor and was adjusted on a set-up environment and tested on a suitable-features driving simulation environment. The average obtained results are promising, having hit ratios between 96.37% and 81.84%.

scholarly journals Lane Detection and Lane Change Warning as Advanced Driver Assistance Systems using Computer Vision

2019 ◽  
Vol 9 (2) ◽  
pp. 5540-5543 ◽  
Keyword(s):  
Road Network ◽  
Cost Effective ◽  
Lane Detection ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
The Road ◽  
Growing Economy ◽  
On The Road ◽  
New Processing ◽  
Processing Techniques

Road ways are the life line of any economy, for a country like India where economy isgrowing rapidly it is putting its toll on every sector for meeting the needs of the growing economy. Good’s and personal transport are becoming vital with time and money aspects and the roads and vehicles on the roads are expected to perform optimally drastically increasing the speed on the road network and constantly increasing and modifying the infrastructure needed to meet the demands. As the speed of the vehicle increases the accident rate and the damage caused by the collision will also increase. Safety of the road network is not to be compromised and proper systems to ensure the safe passage of the vehicle and proper warning systems are to be implemented. This system should be viable in all the condition and should be cost-effective. In this paper we are implementing a vision based system to identify the lane and other vehicles from the video it captures from a properly calibrated camera mounted on the front side of the vehicle. The system is designed to automatically and continuously detect the lines exploiting the new processing techniques and warning the driver if any other is in the breaking distance of the vehicle or if the vehicle is moving out of the lane. Cost effectiveness of the system is a major aspect as many of the available systems use equipment which very good at performing their task but are not affordable. Effort is put in making the system cost effective and not compromising with the reaction time and accuracy..

scholarly journals Metrology Impact of Advanced Driver Assistance Systems

2020 ◽  
Vol 2020 (16) ◽  
pp. 202-1-202-6
Author(s):  
Paola Iacomussi
Keyword(s):  
High Efficiency ◽  
Reference Conditions ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Additional Advantage ◽  
The Road ◽  
Lighting Systems ◽  
On The Road ◽  
Current Standards

Metrological applications to road environment are usually focused on the characterization of the road, considering as measurands several characteristics related to the road as a whole or the performances of single components, like the road surface, lighting systems, active and/or passive signaling and obviously vehicles equipment. In current standards approach, driving on the road means to navigate ”visually” (for a human being driver), the characterizations are mostly photometric performances oriented for given reference conditions and reference observer (photometric observer observing the road from assigned points of view, with given spectral sensitivity). But considering the present and future technological trends and knowledge on visual performances, characterizations based on only photometric quantities in reference conditions as described in the current standards would be not fully suitable, even for human driver visual needs. Nowadays research on components and systems for advanced driver assistance are evolving, following different paths toward different solutions: it is not possible, nor useful to define strict constraints as it has been done previously for road applications measurements. The paper presents the current situation of metrological characterization of road environment and components, on laboratory and on site using mobile high efficiency laboratories, and suggests to use ADAS (Advanced Driver Assistance System) for diffuse mapping of road characteristics for a better understanding of the road environment and maintenance. The suggestion has the additional advantage of minimizing measurement costs, but for its full applicability, the reliability and metrological performances of installed devices and of the measurements performed by ADAS are a priority.

Visualization of Headlight Illumination for the Virtual Prototyping of Light-Based Driver–Assistance Systems

2016 ◽  
Vol 16 (3) ◽  
Author(s):  
Jan Berssenbrügge ◽  
Ansgar Trächtler ◽  
Christoph Schmidt
Keyword(s):  
Driving Simulator ◽  
Virtual Prototyping ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Driving Simulators ◽  
Visualization System ◽  
The Road ◽  
Assistance Systems ◽  
Lighting Systems ◽  
Project Partner

Driving simulators that are capable of simulating a virtual drive at night are increasingly used for the virtual prototyping of light-based driver–assistance systems (DAS). Here, the interplay between driver and assistance system, which enhances the illumination of the road ahead of the vehicle, is investigated. For such investigations, special driving simulators are applied that not only enable a standard driving simulation but also cover the special requirements for the visualization of a driving scenery at night, the simulation of automotive headlights during a virtual drive at night, and the interface to a headlight control module (HCM) that operates the physical headlight prototypes. In this paper, we present the visualization system of the reconfigurable driving simulator from the research project TRAFFIS. We describe the special application focus on the virtual prototyping of a light-based DAS from our project partner Varroc Lighting Systems. The light-based DAS is based on a headlight prototype that combines a glare-free high-beam (GFHB) function and a predictive adaptive frontlighting system (PAFS) for glare-free driving with maximized headlight time.

scholarly journals User Preferences in the Design of Advanced Driver Assistance Systems

2021 ◽  
Vol 13 (7) ◽  
pp. 3932
Author(s):  
Sara Paiva ◽  
Xabiel García Pañeda ◽  
Victor Corcoba ◽  
Roberto García ◽  
Próspero Morán ◽  
...  
Keyword(s):  
Driver Assistance System ◽  
User Preferences ◽  
Assistance System ◽  
Advanced Driver Assistance System ◽  
Special Importance ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
The Road ◽  
On The Road ◽  
And Behavior

The transport network and mobility aspects are constantly changing, and major changes are expected in the coming years in terms of safety and sustainability purposes. In this paper, we present the main conclusions and analysis of data collected from a survey of drivers in Spain and Portugal regarding user preferences, highlighting the main functionalities and behavior that an advanced driver assistance system must have in order to grant it special importance on the road to prevent accidents and also to enable drivers to have a pleasant journey. Based on the results obtained from the survey, we developed and present a working prototype for an advanced driver assistance system (ADAS), its architecture and rules systems that allowed us to create and test some scenarios in a real environment.

Improved Vision Based Driving Space Analysis by Condensation of Image Data

2012 ◽  
Vol 605-607 ◽  
pp. 2260-2264
Author(s):  
Yan Fen Mao ◽  
Hans Wiedmann ◽  
Ming Chen
Keyword(s):  
Image Data ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
The Road ◽  
Detection And Tracking ◽  
Detection And Identification ◽  
Diversity Sampling ◽  
Assistance Systems ◽  
On The Road ◽  
Improve Reliability

Sophisticated ADAS (Advanced Driver Assistance Systems) use vision based methods for detection and keeping track of ahead driving cars. With thus acquired data it is possible to implement e.g. following up functions to automatically keep equal distance to ahead driving vehicles or avoid collisions with obstacles ahead. Known vision based methods for detection and tracking of vehicles use its underneath shadow on the road. The main drawbacks of those methods are the detection and identification of a shadow belonging to a vehicle is neither reliable nor robust, and the thereto required processing of the camera images is very expensive concerning processing time. To improve reliability and detectability we propose here to use an approach which is different from the known methods a nonparametric one; to improve processing speed we propose to apply diversity-sampling to condense the image data before processing it.

scholarly journals Performance Guarantees for Hazard Based Lateral Vehicle Control

2002 ◽  
Author(s):  
Eric J. Rossetter ◽  
J. Christian Gerdes
Keyword(s):  
Control Force ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Driving Experience ◽  
The Road ◽  
Performance Guarantees ◽  
System A ◽  
Assistance Systems ◽  
On The Road ◽  
Near Future

Today’s vehicles are incorporating many advanced driver assistance systems and in the near future it will be likely to have increased capabilities such as lanekeeping assist systems. These systems will be an integral part of the driving experience, aiding the driver in avoiding hazardous obstacles. One approach for these systems is to represent the hazards as artificial potential fields that add control inputs to move the vehicle towards safe regions on the road. This paper focuses on bounding the lateral motion of a vehicle for a lanekeeping system. A Lyapunov approach is used where the bounding function consists of the artificial potential energy associated with the controller, the kinetic energy in the lateral and yaw modes, and energy terms that are dependent on vehicle heading. In order to achieve this bound, a condition has to be met for the lookahead distance and the location of the control force (which can also be interpreted as a condition on the decoupling of lateral and yaw modes). Using this bound, a potential field gain can be chosen to guarantee collision avoidance with fixed lateral obstacles.

Visualization of Headlight Illumination for the Virtual Prototyping of Light-Based Driver Assistance Systems

2015 ◽  
Author(s):  
Jan Berssenbrügge ◽  
Ansgar Trächtler ◽  
Christoph Schmidt
Keyword(s):  
Driving Simulator ◽  
Virtual Prototyping ◽  
Assistance System ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Driving Simulators ◽  
Visualization System ◽  
The Road ◽  
Assistance Systems ◽  
Lighting Systems

Driving simulators that are capable of a simulation of a virtual drive at night are increasingly used for the virtual prototyping of light-based driver assistance systems. Here, the interplay between driver and assistance system, which enhances the illumination of the road ahead of the vehicle, is investigated. For such investigations, special driving simulators are applied that enable not only a standard driving simulation but also cover the special requirements for the visualization of a driving scenery at night, the simulation of automotive headlights during a virtual drive at night, and the interface to a headlight control module (HCM) that operates the physical headlight prototypes. In this paper, we present the visualization system of the reconfigurable driving simulator from the research project TRAFFIS. We describe the special application focus on the virtual prototyping of a light-based driver assistance system from our project partner Varroc Lighting Systems. The light-based DAS bases on a headlight prototype that combines a glare-free high beam (GFHB) function and a predictive adaptive frontlighting system (PAFS) for glare-free driving with maximized headlight time.

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