Results 221 to 230 of about 462,929 (272)
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2021
The recent proliferation of computing technologies (e.g., sensors, computer vision, machine learning, and hardware acceleration), and the broad deployment of communication mechanisms (e.g., DSRC, C-V2X, 5G) have pushed the horizon of autonomous driving, which automates the decision and control of vehicles by leveraging the perception results based on ...
Weisong Shi, Liangkai Liu
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The recent proliferation of computing technologies (e.g., sensors, computer vision, machine learning, and hardware acceleration), and the broad deployment of communication mechanisms (e.g., DSRC, C-V2X, 5G) have pushed the horizon of autonomous driving, which automates the decision and control of vehicles by leveraging the perception results based on ...
Weisong Shi, Liangkai Liu
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Intelligent Autonomous Driving
2018 22nd International Conference on System Theory, Control and Computing (ICSTCC), 2018Machine learning is an emerging technology that can be used in multiple domains, including autonomous driving. This approach is explored in the present study case of 1:10 scale car components, delivering performances and further thoughts on full-scale implementation of an artificial neural network in the area of self-driving automobiles.
Popa Alexandra +5 more
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Visual Evaluation for Autonomous Driving
IEEE Transactions on Visualization and Computer Graphics, 2022Autonomous driving technologies often use state-of-the-art artificial intelligence algorithms to understand the relationship between the vehicle and the external environment, to predict the changes of the environment, and then to plan and control the behaviors of the vehicle accordingly.
Yijie, Hou +7 more
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2021
The deployment of autonomous driving algorithms or prototypes requires complex tests and evaluations in a real environment, which makes the experimental platform become one of the fundamental parts of conducting research and development. However, building and maintaining an autonomous driving vehicle are enormous.
Weisong Shi, Liangkai Liu
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The deployment of autonomous driving algorithms or prototypes requires complex tests and evaluations in a real environment, which makes the experimental platform become one of the fundamental parts of conducting research and development. However, building and maintaining an autonomous driving vehicle are enormous.
Weisong Shi, Liangkai Liu
openaire +1 more source
Magnetic Resonance in Chemistry, 2016
The automatic analysis of NMR data has been a much‐desired endeavour for the last six decades, as it is the case with any other analytical technique. This need for automation has only grown as advances in hardware; pulse sequences and automation have opened new research areas to NMR and increased the throughput of data.
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The automatic analysis of NMR data has been a much‐desired endeavour for the last six decades, as it is the case with any other analytical technique. This need for automation has only grown as advances in hardware; pulse sequences and automation have opened new research areas to NMR and increased the throughput of data.
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SSRN Electronic Journal
The development of autonomous vehicles (AVs) is a transformative advancement in transportation, with the potential to improve safety, efficiency, and mobility. A crucial aspect of this development involves the ability of AVs to navigate complex traffic environments while adhering to traffic laws.
Darshan Kaur +5 more
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The development of autonomous vehicles (AVs) is a transformative advancement in transportation, with the potential to improve safety, efficiency, and mobility. A crucial aspect of this development involves the ability of AVs to navigate complex traffic environments while adhering to traffic laws.
Darshan Kaur +5 more
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Automatic (Autonomous) Driving
2021The driver assistance systems described in Chaps. 17 (TCS, ESC, LKA) and 19 (ACC) assist and control the vehicle in special cases and the driver performs continuously the driving task. These driver assistance systems (DAS, ADAS) are dedicated to level 1 of the automatic driving degrees in Table 18.1. For vehicles with partial automation, level 2, tasks
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eLearning and Software for Education, 2019
With the aid of advanced computer technologies and software capabilities, the world is gradually moving towards automation and artificial intelligence in all engineering and life domains. One of those fields is the auto industry. The cars of our days have options like automatic parking, keeping a safe distance to the nearest front car and use of ...
Ioan Alexandru, Bratosin +3 more
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With the aid of advanced computer technologies and software capabilities, the world is gradually moving towards automation and artificial intelligence in all engineering and life domains. One of those fields is the auto industry. The cars of our days have options like automatic parking, keeping a safe distance to the nearest front car and use of ...
Ioan Alexandru, Bratosin +3 more
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Technologies for Autonomous Driving
2020In the development of smart car technologies, the perception and understanding on the vehicle’s surrounding environment is the basic premise for realizing car intelligence. Digital maps could be used in navigation, map-supported ADAS or autonomous driving with different requirements in each of the three applications.
Zhanxiang Chai, Tianxin Nie, Jan Becker
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The process of repairing potholes entails significant financial and temporal resources. This article presents cutting-edge approaches to pothole detection employing convolutional neural network techniques, focusing exclusively on RGB input images. The primary objective of this research is to assess the performance of three iterations of the You Only ...
Abderrahim Waga +2 more
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Abderrahim Waga +2 more
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