Results 71 to 80 of about 3,652,664 (303)
A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features
Sensors, 2017 During recent years, convolutional neural network (CNN)-based methods have been widely applied to hyperspectral image (HSI) classification by mostly mining the spectral variabilities.
Lingyan Ran +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
How Do Drivers Behave in a Highly Automated Car? [PDF]
, 2009 This paper outlines the results of a driving simulator study conducted for the European CityMobil project, which was designed to investigate the effect of a highly automated driving scenario on driver behaviour. Drivers’ response to a number of ‘critical’
Jamson, A Hamish +3 more
core +1 more source
Designing and Maintaining Roads to Facilitate Automated Driving [PDF]
, 2021 Advanced Driver Assistance Systems (ADAS) are common in modern cars. ADAS features such as lane keeping and Adaptive Cruise Control (ACC) represent forms of lateral and longitudinal vehicle control, i.e., the basis for automated driving.
Storsæter, Ane Dalsnes
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Other title: Teen safe driving in Connecticut
, 2015 Annual; "Annual Report on Effectiveness of Connecticut's Teen Driving Laws.
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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
doaj +1 more source
Systems Approach to Creating Test Scenarios for Automated Driving Systems
Reliability Engineering & System Safety, 2021 Increased safety has been advocated as one of the major benefits of the introduction of Automated Driving Systems (ADSs). Incorporation of ADSs in vehicles mean that associated software has safety critical application, thus requiring exhaustive testing ...
Siddartha Khastgir +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
Path Tracking for Automated Driving: A Tutorial on Control System Formulations and Ongoing Research
, 2017 In automated driving system architectures (see the classification according to [1]), three layers can be typically defined [2]: (i) The perception layer, aimed at detecting the conditions of the environment surrounding the vehicle, e.g., by identifying ...
Sorniotti, A, De Pinto, S, Barber, P
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, 2021 Although an automated vehicle may operate for an extended time, it may suddenly request a user\u27s intervention in critical situations (i.e., beyond the system\u27s operational design domain). Despite the proliferation of studies to understand how users
Dozza, Marco +7 more
core +1 more source