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Scenario Based Testing of Automated Driving Systems: A Literature Survey

FISITA World Congress 2021 - Technical Programme, 2021
Scenario based methods for testing and validation of automated driving systems in virtual test environments are gaining importance and becoming an important component for verification and validation processes of automated driving systems. The high system
Demin Nalic   +4 more
semanticscholar   +1 more source

Teammate Advanced Drive System Using Automated Driving Technology

SAE International Journal of Advances and Current Practices in Mobility, 2021
<div class="section abstract"><div class="htmlview paragraph">Woven Core, Inc. has developed Teammate Advanced Drive, a driving support system with state-of-the-art automated driving technology based on the Mobility Teammate Concept by Toyota Motor Corporation.
Tomoya Kawasaki   +5 more
openaire   +1 more source

Safety Verification of Automated Driving Systems

IEEE Intelligent Transportation Systems Magazine, 2013
In this paper, a set based approach is presented for safety verification and performance analysis of automated driving systems. As an example, reachability analysis technique is used to study the minimum required safe inter-vehicle distance for two given adaptive cruise controllers, a state feedback and a state feedback/feedforward controller designed ...
Kianfar Roozbeh   +2 more
openaire   +1 more source

Automated Driving System Collisions: Early Lessons

Human Factors: The Journal of the Human Factors and Ergonomics Society, 2019
Objective This research evaluated Automated Driving Systems (ADSs) involved collisions to identify factors relevant to future ADS research and development. Background Rapidly developing ADSs promise improved safety, among other benefits. Properly applied collision research can inform ADS development, to minimize future collisions.
Wayne Biever, Linda Angell, Sean Seaman
openaire   +2 more sources

Enhancing Sensing and Decision-Making of Automated Driving Systems With Multi-Access Edge Computing and Machine Learning

IEEE Intelligent Transportation Systems Magazine, 2022
Emerging self-driving vehicles are now capable of sensing the environment and performing autonomous operations, paving the way to a more efficient, safer, and greener transportation system.
A. M. Souza   +5 more
semanticscholar   +1 more source

Interaction of automated driving systems with pedestrians: challenges, current solutions, and recommendations for eHMIs

Transport reviews, 2021
The conventional form of traffic interaction undergoes a notable change with the integration of automated driving systems as a new road user, into the public roads.
Roja Ezzati Amini   +3 more
semanticscholar   +1 more source

Is Driving Automation Used as Intended? Real-World Use of Partially Automated Driving Systems and their Safety Consequences

Transportation Research Record, 2021
Advanced driver assistance systems with SAE Level 2 automated capabilities have entered the vehicle marketplace. Such driving automation systems (DASs) have the potential to fundamentally change the driving experience through automated lateral and ...
Hyungil Kim   +2 more
semanticscholar   +1 more source

Classification of Automated Driving Systems

IEEE Military Communications Conference
Automated driving vehicles are transforming the consumer and military landscapes. Although most of them currently rely on a single, proprietary, embedded system, Software-Defined Vehicles (SDVs) are poised to accommodate multiple such systems, each best ...
Bidhya Shrestha   +3 more
semanticscholar   +1 more source

Driving performance at lateral system limits during partially automated driving

Accident Analysis & Prevention, 2017
This study investigated driver performance during system limits of partially automated driving. Using a motion-based driving simulator, drivers encountered different situations in which a partially automated vehicle could no longer safely keep the lateral guidance.
Frederik, Naujoks   +5 more
openaire   +2 more sources

Automated Driving System Data Logger

2021
<div class="section abstract"> <div class="htmlview paragraph">This SAE Recommended Practice provides common data output formats and definitions for a variety of data elements that may be useful for analyzing the performance of automated driving system (ADS) during an event that meets the trigger threshold criteria specified in this ...
openaire   +1 more source

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