Results 1 to 10 of about 1,070,284 (327)
Evaluating Localization Accuracy of Automated Driving Systems [PDF]
Sensors, 2021 Automated driving systems are in need of accurate localization, i.e., achieving accuracies below 0.1 m at confidence levels above 95%. Although during the last decade numerous localization techniques have been proposed, a common methodology to validate ...
Karl Rehrl, Simon Gröchenig
doaj +6 more sources
Advances in Automated Driving Systems
Energies, 2022 Electrification, automation of vehicle control, digitalization and new mobility are the mega trends in automotive engineering and they are strongly connected to each other [...]
Arno Eichberger +3 more
doaj +6 more sources
Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios
IEEE Access, 2021 The development of safety validation methods is essential for the safe deployment and operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to prospectively evaluate the risk of an ADS dealing with real-world traffic ...
Erwin de Gelder +5 more
doaj +8 more sources
Optimization data on total cost of ownership for conventional and battery electric heavy vehicles driven by humans and by automated driving systems [PDF]
Data in Brief, 2020 In road freight transport, the emerging technologies such as automated driving systems improve the mobility, productivity and fuel efficiency. However, the improved efficiency is not enough to meet environmental goals due to growing demands of ...
Toheed Ghandriz +3 more
doaj +2 more sources
A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems [PDF]
IEEE Access, 2022 Ensuring the quality of automated driving systems is a major challenge the automotive industry faces. In this context, quality defines the degree to which an object meets expectations and requirements.
Barbara Schutt +4 more
doaj +2 more sources
Applied Sciences, 2023 As automated driving technology continues to advance, the question of how users prefer to be driven in their new, more passive role is becoming increasingly relevant.
Laurin Vasile +5 more
doaj +1 more source
Managing Driving Modes in Automated Driving Systems
Transportation Science, 2022 Current technology is unable to produce massively deployable, fully automated vehicles that do not require human intervention. Given that such limitations are projected to persist for decades, scenarios requiring a driver to assume control of a semiautomated vehicle, and vice versa, will remain a feature of modern roadways for the foreseeable future ...
Ríos Insua, David +2 more
openaire +3 more sources
A Review on Scene Prediction for Automated Driving
Physics, 2022 Towards the aim of mastering level 5, a fully automated vehicle needs to be equipped with sensors for a 360∘ surround perception of the environment. In addition to this, it is required to anticipate plausible evolutions of the traffic scene such that it ...
Anne Stockem Novo +3 more
doaj +1 more source
Sensors, 2021 Pavement markings are used to convey positioning information to both humans and automated driving systems. As automated driving is increasingly being adopted to support safety, it is important to understand how successfully sensor systems can interpret ...
Ane Dalsnes Storsæter +2 more
doaj +1 more source
The Impact of Situational Complexity and Familiarity on Takeover Quality in Uncritical Highly Automated Driving Scenarios [PDF]
, 2020 In the development of highly automated driving systems (L3 and 4), much research has been done on the subject of driver takeover. Strong focus has been placed on the takeover quality.
Russwinkel, Nele +2 more
core +1 more source