Showing 1-25 of 13,408 resultsfor "Index Terms":Advanced Driver Assistance Systems
"Index Terms":Advanced Driver Assistance Systems
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Emotionally Adaptive Driver Voice Alert System for Advanced Driver Assistance System (ADAS) Applications
2018 International Conference on Smart Systems and Inventive Technology (ICSSIT)
Year: 2018 | Conference Paper |
Cited by: Papers (28)
Human cognitive analysis catalyzes the innovations in Human Machine Interface (HMI) for a variety of applications. In an Automotive Advanced Driver Assistance System (ADAS), the continuous cognitive interaction of the driver with the assistance system plays a crucial role in enhancing the active safety system. Multiple ADAS functionalities uses a variety of driver alerts through visual, audio and ...Show More
An Adaptive Forward Collision Warning Framework Design Based on Driver Distraction
Seyed Mehdi Iranmanesh;Hossein Nourkhiz Mahjoub;Hadi Kazemi;Yaser P. Fallah
Forward Collision Warning (FCW) is a promising Advanced Driver Assistance System (ADAS) to mitigate rear-end collisions. The deterministic FCW approaches may occasionally lead to the issuance of annoying false warnings, as they cannot be individualized for different drivers. This application oversight, which may cause the driver to deactivate the system, has been tackled with some adaptive methods...Show More
Assessing Driver Acceptance of Jakarta Community Towards FCW and LDW
2019 4th International Conference on Intelligent Transportation Engineering (ICITE)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
As one of the most populous capitals in the world, Jakarta experiences rapid population growth every year which is followed by increasing number of vehicles rapidly too. The problem arise when Jakarta was named as one of the cities not comfortable to drive based on Driver Satisfaction Index 2016 released by Waze (3,37 out of 10) and around 98 thousands accidents occurred in 2017. Advanced Driver A...Show More
Driver Behavior Analysis for Advanced Driver Assistance System
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)
Year: 2018 | Conference Paper |
Cited by: Papers (8)
In order to improve the comfort and acceptance of the advanced driver assistance system, many researchers have spent a lot of effort to study the driver's driving characteristics in the specific conditions. Unlike previous works, two new basic driving conditions are defined in this paper. In order to analyze the driver behavior, we select the vehicle trajectory data provided by NGSIM. The Spearman...Show More
Predicting Positions and Velocities of Surrounding Vehicles using Deep Neural Networks
2019 Zooming Innovation in Consumer Technologies Conference (ZINC)
Year: 2019 | Conference Paper |
Cited by: Papers (9)
Prediction of surrounding vehicles motion is a basic feature of the most advanced driver assistance systems (ADAS). In this paper, we present prediction of positions and velocities of surrounding vehicles using deep neural networks (DNNs). Three different DNN architectures are designed and explored: feed-forward, recurrent, and hybrid. Training and validation data are generated using IPG Carmaker ...Show More
Current challenges in modelling advanced driver assistance systems: Future trends and advancements
2017 2nd IEEE International Conference on Intelligent Transportation Engineering (ICITE)
Year: 2017 | Conference Paper |
Cited by: Papers (22)
The rapidly growing software content within the vehicles continue to make automotive systems more intelligent through the addition of software enabled electronics. A plethora of change in the automotive industry is largely driven by the embedded software technology. The Advanced Driver Assistance Systems are one of such innovations of technology which are gaining widespread momentum in today's eve...Show More
Decision Making for Advanced Driver Assistance Systems for Public Transport
2023 5th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
This paper discusses the decision-making process for Advanced Driver Assistance Systems (ADAS) on level 0 for public transport in Russia. ADAS systems improve the safety on the road by warning the driver about any potential collision. The architecture of the proposed system is discussed. Two new systems are proposed, which are Turn Assist System (TAS) and Lateral Clearance Warning (LCW). Three oth...Show More
Geometric Pattern Analysis for Traffic Sign Detection and Recognition
2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Automatic traffic sign detection and recognition assist the advanced driver assistance system (ADAS) by reminding drivers to pay attention to warning, prohibitions, and instructions from traffic signs. We propose an algorithm to detect and recognize Taiwanese traffic signs. In the detection, we combine the information of shapes, relative locations, and the HSV color space to detect traffic signs. ...Show More
Traffic Sign Recognition Based On Scaled Convolutional Neural Network For Advanced Driver Assistance System
2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS)
Year: 2020 | Conference Paper |
Cited by: Papers (12)
Advanced driver assistance system (ADAS) is one of the most important systems for human assistance. It assists the drivers to control the vehicle by providing essential information about the environment objects. In this paper, we propose a traffic signs recognition application for ADAS. The proposed application is based on the deep learning technique. In particular, we used the convolutional neura...Show More
LiEBiD - A LIDAR based Early Blind Spot Detection and Warning System for Traditional Steering Mechanism
2020 International Conference on Smart Electronics and Communication (ICOSEC)
Year: 2020 | Conference Paper |
Cited by: Papers (6)
The proposed work LiEBiD - Lidar based Early Blind spot Detection system is designed to provide early warnings with regard to the proximity of other vehicles in “no zones” and blind spots Additionally, the designed product is an important module of the Advanced Driver Assistance System (ADAS) to provide timely corrective action to prevent imminent collision. And with the help of Triangulation Rang...Show More
Detecting Attacks Against Safety-Critical ADAS Based on In-Vehicle Network Message Patterns
Christopher Gutierrez;Marcio Juliato;Shabbir Ahmed;Manoj Sastry
2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks – Industry Track
Year: 2019 | Conference Paper |
Cited by: Papers (3)
Vehicles on the road today are Internet-enabled devices, providing navigation, safety, and entertainment to passengers. It is possible for an attacker to compromise these devices to gain remote access to the in-vehicle network, allowing control of the vehicle. To detect the presence of masqueraded messages, we propose a Message Time-series Intrusion Detection System (MTS IDS), which is based on th...Show More
Sharpness-aware real-time haze removal for advanced driver assistance systems
2016 International SoC Design Conference (ISOCC)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
This paper proposes a new haze-removal scheme for automotive applications. In contrast that the previous works focus on enhancing the quality of haze-free images, the proposed algorithm sharpens the edges of lanes by adopting the weighting filter. Moreover, the previous internal steps, which cannot improve the sharpness of lanes, are removed to reduce the computing overheads. As a result, the prop...Show More
Toward More Safety оn the Roads: Development of a Lane Keep Assistance System for Public Transport
Semeon V. Tsukorenko;Andrey V. Tarasenko;Yazan Wassouf;Vladimir V. Serebrenny
2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
this paper discusses the development of Lane keep assistance system on the level 2 of Advanced Driver Assistance Systems (ADAS) for the public transport on Russian roads (KAMAZ vehicles). ADAS systems improve the safety on the road by warning the driver about any potential collision on the zero level and make control for the higher levels of automation. The article discusses the question of archit...Show More
The Integration of Vehicle-to-Grid (V2G) technology and Advanced Driver Assistance Systems (ADAS)
2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE)
Year: 2024 | Conference Paper |
This research paper explores the integration of Vehicle-to-Grid (V2G) and Advanced Driver Assistance Systems (ADAS) technologies and its trans-formative potential. V2G enables bidirectional power flow between electric vehicles (EVs) and the grid, while ADAS enhances driving safety and convenience. Case studies, implications, considerations, and future directions are examined. Integration benefits ...Show More
Resource Efficient Hardware Implementation for Real-Time Traffic Sign Recognition
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2018 | Conference Paper |
Traffic sign recognition (TSR) is one of the Advanced Driver Assistance System (ADAS) device in modern cars. We propose a high efficiency hardware implementation for TSR, which is divided into two stages. In the detection stage, we use Normalized RGB color transform and Single-Pass Connected Component Labeling (CCL) to find the potential traffic signs. In the recognition stage, the Histogram of Or...Show More
Driver monitoring algorithm for advanced driver assistance systems
Aleksandra Simić;Ognjen Kocić;Milan Z. Bjelica;Milena Milošević
Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendati...Show More
Pothole Detection and Alert System Sing YOLO Models: A Real-Time Driver Assistance Approach
P L Pratheesh Raj;M Santhiya;S Stewart Kirubakaran;Getzi Jeba Leelipushpam;V. Ebenezer;E. Bijolin Edwin
2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)
Year: 2024 | Conference Paper |
This study presents a novel method that uses advanced deep learning models, such as YOLOv8n-seg, YOLOv8x- seg, YOLOv9, and YOLOvlO, for pothole recognition and distance calculation. The proposed technology locates potholes on the road (left, center, or right), measures their distances from the car, and classifies them. The proposed system then enhances road safety by alerting drivers in real-time ...Show More
A study on driver training on advanced driver assistance systems by using a driving simulator
2015 International Conference on Connected Vehicles and Expo (ICCVE)
Year: 2015 | Conference Paper |
Cited by: Papers (11)
Advanced driver assistance systems (ADASs) are making continuous progress in order to solve issues in vehicle traffic. However, drivers cannot adjust to these advances, because ADAS can assist even complicated driving behaviors that require higher skills. The more advanced the driving interactions ADAS can perform, the more risk the system may have when used by drivers who have insufficient knowle...Show More
Lego Radar Train — An Educational Workshop on Radar-based Advanced Driver Assistance Systems
Michael Gerstmair;Martin Gschwandtner;Rainer Findenig;Alexander Melzer;Mario Huemer
2020 28th European Signal Processing Conference (EUSIPCO)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
In modern vehicles a variety of sensors like radar, camera and lidar are combined in order to precisely sense the environment. This data is utilized by advanced driver assistance systems (ADAS) to provide comfort features and increased safety for the occupants. To cope with the demands of this growing market, it is necessary to attract young people to so-called science, technology, engineering and...Show More
Evaluating the Operational Safety of a Passenger Car Automatic Emergency Braking System
2024 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)
Year: 2024 | Conference Paper |
The article deals with the state of the issue and outlines the advantages of advanced driver assistance systems (ADAS). The structure of vehicle safety, stages and methods of development of safety mechanisms in the leading industry standards on operational and functional safety are described. The general principles of forming methods of describing the electronic control system of the automobile on...Show More
A Robust Approach to Integrating Advanced Driver Assistance Systems with In-Vehicle Infotainment
2024 32nd Telecommunications Forum (TELFOR)
Year: 2024 | Conference Paper |
Fundamental elements of system design include strategies for achieving optimal performance and stability, especially in software for electric vehicles (EVs). Guided by the ISO 26262 standard, automotive systems are positioned to meet safety requirements. This paper explores the communication between two rapidly advancing automotive domains, Advanced Driver Assistance Systems (ADAS) and In-Vehicle ...Show More
Trust in autonomous vehicles: The case of Tesla Autopilot and Summon
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Year: 2017 | Conference Paper |
Cited by: Papers (92)
Autonomous driving is on the horizon. Vehicles with partially automated driving capabilities are already in the market. Before the widespread adoption however, human factors issues regarding automated driving need to be addressed. One of the key issues is how much drivers trust in automated driving systems and how they calibrate their trust and reliance based on their experience. In this paper, we...Show More
A review article on lane sensing and tracing algorithms for Advanced Driver Assistance Systems
2022 7th International Conference on Communication and Electronics Systems (ICCES)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
In this paper, the review on the sensing of lanes $\mathcal{E}$ trace algos utilizing hybrid automobile driver assistance modules is presented in brief. Autonomous Vehicles (AVs) and Advanced Driver Assistance Systems (ADAS) improve safety while reducing fuel, pollution, and energy consumption. Lane detection and tracing are two basic ADAS features. Lane sensing is a technology that recognizes roa...Show More
Low-complexity hardware architecture of traffic sign recognition with IHSL color space for advanced driver assistance systems
2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)
Year: 2016 | Conference Paper |
Cited by: Papers (3)
This paper presents novel hardware architecture with low-complexity color conversion scheme and parallel processing of red region detection for the applications of automatic traffic sign detection system. By the inherent parallelism of the various red region detections, we designed a fully pipelined architecture implemented on the FPGA platform. The proposed architecture enables a real-time traffi...Show More
Research on the Classification and Identification of Driver’s Driving Style
2017 10th International Symposium on Computational Intelligence and Design (ISCID)
Year: 2017 | Conference Paper |
Cited by: Papers (14)
More and more Advanced Driver Assistance Systems (ADAS) are entering the market for improving both driving safety and comfort. To improve the system performance, in particular, the acceptance and adaption of ADAS to human drivers, it is important to understand human drivers' driving habits that make the systems more human-like or personalized for ADAS. The research presented in this paper proposes...Show More
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