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Advanced Driver Assistance Systems

SAE Technical Paper Series, 2016
<div class="section abstract"><div class="htmlview paragraph">This paper provides a detailed study of the recent developments in the field of Advanced Driver Assistance Systems and researches in ADASs since last decade. The paper provides a survey on Cognitive cars and driver oriented intelligent vehicles and their motion, stimuli, reflex ...
Aneesh Paul   +3 more
openaire   +2 more sources

Development and Testing of Advanced Driver Assistance Systems Through Scenario-Based Systems Engineering

IEEE Transactions on Intelligent Vehicles, 2023
Advanced driver assistance systems (ADAS) hold great promise for improving transportation safety and efficiency. However, the development of these technologies requires a robust and systematic engineering process to ensure their reliable and safe ...
Xuan Li   +4 more
semanticscholar   +1 more source

MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges

IEEE Signal Processing Magazine, 2020
Important requirements for automotive radar are high resolution, low hardware cost, and small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving considerable attention from automotive radar manufacturers because it can ...
Shunqiao Sun, A. Petropulu, Vincent Poor
semanticscholar   +1 more source

Knowledge of and trust in advanced driver assistance systems.

Accident Analysis and Prevention, 2021
Understanding what drivers know about state-of-the-art advanced driver assistance systems (ADAS), like adaptive cruise control (ACC) and lane keeping assistance (LKA) is important because such knowledge can influence trust in and reliance on the ...
Chelsea A. Deguzman, Birsen Donmez
semanticscholar   +1 more source

A Survey of Personalization for Advanced Driver Assistance Systems

IEEE Transactions on Intelligent Vehicles, 2020
The field of advanced driver assistance systems (ADAS) has matured towards more and more complex assistance functions, applied with wider scope and a strongly increasing user base due to wider market penetration.
M. Hasenjäger   +2 more
semanticscholar   +1 more source

Phantom of the ADAS: Securing Advanced Driver-Assistance Systems from Split-Second Phantom Attacks

Conference on Computer and Communications Security, 2020
In this paper, we investigate "split-second phantom attacks," a scientific gap that causes two commercial advanced driver-assistance systems (ADASs), Telsa Model X (HW 2.5 and HW 3) and Mobileye 630, to treat a depthless object that appears for a few ...
Ben Nassi   +5 more
semanticscholar   +1 more source

Advanced Driver Assistance Systems

2021
Advanced driver assistance system (ADAS) is the term used to refer to those systems which help the driver either by taking over a task the driver would otherwise have to carry out manually, or by fulfilling a function which is beyond the capabilities of the driver. These systems are predominantly aiming to increase safety.
Michael Hilgers, Wilfried Achenbach
openaire   +1 more source

Systematic Review of Research on Driver Distraction in the Context of Advanced Driver Assistance Systems

Transportation Research Record, 2021
Advanced driver assistance systems (ADAS) promise improved driving performance and safety. With ADAS taking on more vehicle control tasks, the driver’s role may be reduced to that of passive supervision.
A. Hungund, G. Pai, A. Pradhan
semanticscholar   +1 more source

Advanced Driver Assistance Systems for Aging Drivers

Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2019
Advanced Driver Assistance Systems (ADAS) aim to increase safety by supporting drivers in the driving task. Especially older drivers (65+ years), given the nature of aging, could benefit from these systems. However, little is known about older drivers' acceptance of ADAS in general and how particular acceptance aspects influence their intention to use ...
Hanna Braun   +6 more
openaire   +1 more source

A Cloud–Edge Collaborative Architecture for Multimodal LLM-Based Advanced Driver Assistance Systems in IoT Networks

IEEE Internet of Things Journal
Advanced driver assistance systems (ADASs) enhance driving safety and convenience by providing auxiliary functions. However, traditional rule-based or learning-based ADAS lack the capability for commonsense-based environmental understanding and ...
Yaqi Hu   +4 more
semanticscholar   +1 more source

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