Results 51 to 60 of about 86,486 (162)
Convolutional Neural Network-Based Robot Navigation Using Uncalibrated Spherical Images
Sensors, 2017 Vision-based mobile robot navigation is a vibrant area of research with numerous algorithms having been developed, the vast majority of which either belong to the scene-oriented simultaneous localization and mapping (SLAM) or fall into the category of ...
Lingyan Ran +3 more
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The effects of displaying availability sections of an automated driving function
Frontiers in Future Transportation, 2023 So far, there has been little research into displaying the availability of a higher-level automated driving system. The benefits of presenting availability times while driving automatically have already been discussed, but there are no findings on giving
Simon Danner +3 more
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Journal of Advanced Transportation, 2021 In recent years, the automated driving system has been known to be one of the most popular research topics of artificial intelligence (AI) and intelligent transportation system (ITS).
Depeng Chen +5 more
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IEEE Open Journal of Intelligent Transportation Systems, 2022 Lane change is a highly demanding driving task. A number of traffic accidents are induced by erroneous maneuvers. An automated lane-change system has the potential to reduce the driver workload and improve driving safety.
Zheng Wang +6 more
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Dimensions of cooperative driving, its and automation
2015 IEEE Intelligent Vehicles Symposium (IV), 2015 Wireless technology supporting vehicle-to-vehicle (V2V), and vehicle-to-infrastructure (V2I) communication, allow vehicles and infrastructures to exchange information, and cooperate. Cooperation among the actors in an intelligent transport system (ITS) can introduce several benefits, for instance, increase safety, comfort, efficiency.
Maytheewat Aramrattana +3 more
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Physics of automated-driving vehicular traffic
Physical Review E, 2023 We have found that a variety of phase transitions occurring between three traffic phases (free flow (F), synchronized flow (S), and wide moving jam (J)) determine the spatiotemporal dynamics of traffic consisting of 100% automated-driving vehicles moving on a two-lane road with an on-ramp bottleneck.
openaire +3 more sources
IEEE AccessThis paper attempts to solve the problem of identifying the critical factors of road design on human driver (HD) accidents and automated vehicle (AV) failures.
Soomin Woo +3 more
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Influence of automated driving on driver’s own localization: a driving simulator study [PDF]
Journal of Intelligent and Connected Vehicles, 2019 Purpose - Level 3 automated driving, which has been defined by the Society of Automotive Engineers, may cause driver drowsiness or lack of situation awareness, which can make it difficult for the driver to recognize where he/she is.
Ryuichi Umeno +2 more
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Fluid Interface Concept for Automated Driving
, 2020 The biggest challenge for a human-machine interface in highly automated vehicles is to provide enough information to the potentially unaware human operator to induce an appropriate response avoiding cognitive overload. Current interface design struggles to provide timely and relevant information tailored for future driver’s needs.
Paolo Pretto +2 more
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REHEARSE-3D: A Multi-Modal Emulated Rain Dataset for 3D Point Cloud De-Raining
SensorsSensor degradation poses a significant challenge in autonomous driving. During heavy rainfall, interference from raindrops can adversely affect the quality of LiDAR point clouds, resulting in, for instance, inaccurate point measurements.
Abu Mohammed Raisuddin +6 more
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