Results 1 to 10 of about 10,135,005 (257)
Evaluating Localization Accuracy of Automated Driving Systems [PDF]
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
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Optimization data on total cost of ownership for conventional and battery electric heavy vehicles driven by humans and by automated driving systems [PDF]
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
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Test case sampling optimization for safety validation of automated driving systems [PDF]
Testing and validating automated driving systems require carefully designed test cases that capture the complexity of real-world driving conditions. However, the inherent complexity of driving environments and the rarity of safety-critical situations ...
Chen Qian +3 more
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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
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A Review on Scene Prediction for Automated Driving
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
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Advances in Automated Driving Systems
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
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Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios
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
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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
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A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems
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
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Conclusive evidence has demonstrated the critical importance of highly automated driving systems and regenerative braking systems in improving driving safety and economy.
Liang Chu +3 more
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