Automated driving
نویسندگان
چکیده
منابع مشابه
Predicting of Machine Perception for Automated Driving
In the case of highly-automated and fully-automated driving it is necessary for the vehicle itself to recognize the limitations of its machine perception, as well as the functional limitations of processing modules based on this perception to react adequately. While simulator studies of highly-automated driving have shown that realistic transfer times to the driver of between 5 and 10 s can be ...
متن کاملArchitecting Safe Automated Driving with Legacy Platforms
Modern vehicles have electrical architectures whose complexity grows year after year due to feature growth corresponding to customer expectations. The latest of the expectations, automation of the dynamic driving task however, is poised to bring about some of the largest changes seen so far. In one fell swoop, not only does required functionality for automated driving drastically increase the s...
متن کاملPolicy Gradient Methods for Automated Driving
Automated driving requires designing a system capable of maintaining safety while simultaneously maintaining passenger comfort. Models of highway driving have high dimensionality and stochasticity traditionally specifying the histories for a large, varying number of agents in a continuous state and action space. Traditional value-based reinforcement learning methods require exponential time in ...
متن کاملAutomated Drowsiness Detection For Improved Driving Safety
Several approaches were proposed for the detection and prediction of drowsiness. The approaches can be categorized as estimating the fitness of duty, modeling the sleep-wake rhythms, measuring the vehicle based performance and online operator monitoring. Computer vision based online operator monitoring approach has become prominent due to its predictive ability of detecting drowsiness. Previous...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: e & i Elektrotechnik und Informationstechnik
سال: 2018
ISSN: 0932-383X,1613-7620
DOI: 10.1007/s00502-018-0634-3