Zobrazeno 1 - 10
of 217 956
pro vyhledávání: '"P. Driver"'
Success in racing requires a unique combination of vehicle setup, understanding of the racetrack, and human expertise. Since building and testing many different vehicle configurations in the real world is prohibitively expensive, high-fidelity simula
Externí odkaz:
http://arxiv.org/abs/2412.03803
In real-world driving scenarios, multiple states occur simultaneously due to individual differences and environmental factors, complicating the analysis and estimation of driver states. Previous studies, limited by experimental design and analytical
Externí odkaz:
http://arxiv.org/abs/2412.13574
Autor:
Fanan, Mattia, Pezze, Davide Dalle, Efatinasab, Emad, Carli, Ruggero, Rampazzo, Mirco, Susto, Gian Antonio
Behavior-based Driver Identification is an emerging technology that recognizes drivers based on their unique driving behaviors, offering important applications such as vehicle theft prevention and personalized driving experiences. However, most studi
Externí odkaz:
http://arxiv.org/abs/2412.10780
Thanks to Integral Field Unit survey data it is possible to explore in detail the link between the formation of the stellar content in galaxies and the drivers of evolution. Traditionally, scaling relations have connected galaxy-wide parameters such
Externí odkaz:
http://arxiv.org/abs/2412.08717
In the domain of autonomous vehicles, the human-vehicle co-pilot system has garnered significant research attention. To address the subjective uncertainties in driver state and interaction behaviors, which are pivotal to the safety of Human-in-the-lo
Externí odkaz:
http://arxiv.org/abs/2412.04888
The classification of distracted drivers is pivotal for ensuring safe driving. Previous studies demonstrated the effectiveness of neural networks in automatically predicting driver distraction, fatigue, and potential hazards. However, recent research
Externí odkaz:
http://arxiv.org/abs/2411.13181
Autor:
Xu, Hanxiang, Ma, Wei, Zhou, Ting, Zhao, Yanjie, Chen, Kai, Hu, Qiang, Liu, Yang, Wang, Haoyu
In recent years, the programming capabilities of large language models (LLMs) have garnered significant attention. Fuzz testing, a highly effective technique, plays a key role in enhancing software reliability and detecting vulnerabilities. However,
Externí odkaz:
http://arxiv.org/abs/2411.11532
The driver warning system that alerts the human driver about potential risks during driving is a key feature of an advanced driver assistance system. Existing driver warning technologies, mainly the forward collision warning and unsafe lane change wa
Externí odkaz:
http://arxiv.org/abs/2411.06306
Red light violation is a major cause of traffic collisions and resulting injuries and fatalities. Despite extensive prior work to reduce red light violations, they continue to be a major problem in practice, partly because existing systems suffer fro
Externí odkaz:
http://arxiv.org/abs/2411.03271