Results 91 to 100 of about 122,985 (297)
Application of Event Cameras and Neuromorphic Computing to VSLAM: A Survey
Simultaneous Localization and Mapping (SLAM) is a crucial function for most autonomous systems, allowing them to both navigate through and create maps of unfamiliar surroundings.
Sangay Tenzin +2 more
doaj +1 more source
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier +12 more
wiley +1 more source
Object tracking on event cameras with offline–online learning
Compared with conventional image sensors, event cameras have been attracting attention thanks to their potential in environments under fast motion and high dynamic range (HDR).
Rui Jiang +7 more
doaj +1 more source
Activity understanding and unusual event detection in surveillance videos
PhDComputer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems.
Loy, Chen Change
core
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera +8 more
wiley +1 more source
Event Cameras in Automotive Sensing: A Review
Event cameras (EC) represent a paradigm shift and are emerging as valuable tools in the automotive industry, particularly for in-cabin and out-of-cabin monitoring. These cameras capture pixel intensity changes as ”events” with ultra-low latency, making them suitable for real- time applications.
Waseem Shariff +5 more
openaire +3 more sources
Automated camera ranking and selection using video content and scene context
PhDWhen observing a scene with multiple cameras, an important problem to solve is to automatically identify “what camera feed should be shown and when?” The answer to this question is of interest for a number of applications and scenarios ranging from ...
Daniyal, Fahad M., Daniyal, Fahad M
core
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
Study on the method of converting asynchronous event stream into grid representation
ObjectivesTo address the complexity and sparsity of asynchronous event streams, which complicate data analysis, reduce storage and computational efficiency, a method was proposed to convert asynchronous event stream into grid representation.MethodsEach ...
Wang Yanwei +3 more
doaj +1 more source
Feature Tracking Based on Line Segments With the Dynamic and Active-Pixel Vision Sensor (DAVIS)
As a novel vision sensor, the dynamic and active-pixel vision sensor (DAVIS) combines a standard camera and an asynchronous event-based sensor in the same pixel array.
Kaiyue Li +5 more
doaj +1 more source

