Automotive
Researchers at Duke University have demonstrated the first attack strategy that can fool industry-standard autonomous vehicle sensors into believing nearby objects are closer (or further) than they appear without being detected.
Mar 14, 2022
0
98
Consumer & Gadgets
Smartphones, smartwatches, smart health devices, and pervasive smart sensors are becoming enmeshed in our daily lives, generating a flood of data that help keep us safe, healthy, and informed. As we see more sources of data, ...
Mar 4, 2022
0
33
Robotics
In recent years, roboticists and computer scientists have been developing a wide range of systems that can detect objects in their environment and navigate it accordingly. Most of these systems are based on machine learning ...
Automotive
Intelligent Transportation Systems (ITS) need traffic data to run smoothly. At intersections, where there is the greatest potential for conflicts between road users, being able to reliably and intelligently monitor the different ...
Dec 3, 2021
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137
Computer Sciences
Developing methods to accurately reconstruct spatial fields using data collected by sparse sensors has been a long-standing challenge in both physics and computer science. Ultimately, such methods could significantly aid ...
Business
The complexity of large industrial production plants is hardly manageable for a single person. In order to maintain, monitor and service an industrial production line, it therefore makes sense to rely on artificial intelligence ...
Aug 9, 2021
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9
Software
Google on Thursday unveiled an upgraded fitness app which uses smartphone camera capabilities to measure respiration and heart rate.
Feb 4, 2021
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32
Hardware
Autonomous vehicles are in demand like never before. At NTNU, researchers have developed a circuit board that can be adapted to different drones with simple steps. Airbus has tested the system on a lunar landing prototype.
Dec 8, 2020
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32
Software
BlackBerry and Amazon on Tuesday announced an alliance to create a cloud computing platform that cars could link to for services and insights based on data from vehicles and users..
Dec 1, 2020
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11
Machine learning & AI
New resource-efficient gesture recognition can be embedded into smart clothing. Technology developed in collaboration between Aalto University and company HitSeed could be used in manufacturing and healthcare, for example.
Oct 27, 2020
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0
Sensor fusion is the combining of sensory data or data derived from sensory data from disparate sources such that the resulting information is in some sense better than would be possible when these sources were used individually. The term better in that case can mean more accurate, more complete, or more dependable, or refer to the result of an emerging view, such as stereoscopic vision (calculation of depth information by combining two-dimensional images from two cameras at slightly different viewpoints).
The data sources for a fusion process are not specified to originate from identical sensors. One can distinguish direct fusion, indirect fusion and fusion of the outputs of the former two. Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and history values of sensor data, while indirect fusion uses information sources like a priori knowledge about the environment and human input.
Sensor fusion is also known as (multi-sensor) Data fusion and is a subset of information fusion.
This text uses material from Wikipedia, licensed under CC BY-SA
