The Ford Motor Company is gaining a bit of negative notoriety lately: its F-Series deliveries are faltering, and the company has already recalled almost 7.5 million vehicles this year. And it’s not ...

New research describes multimodal sensor fusion for AI-based fault detection in 3D printing. In additive manufacturing, many monitoring systems still rely on a single data source — a camera for layer ...

US Air Force Secretary Troy Meink (Photo Credit: Tierney Cross/Bloomberg via Getty Images) AFA WARFARE SYMPOSIUM — The Department of the Air Force is launching a series of exercises to learn how to ...

Abstract: This article focuses on the 2-D plane finite-time multilane fusion control problem with velocity sensor faults and actuator faults. First, considering the velocity sensor faults, radial ...

Advanced Driver Assistance Systems and autonomous driving technologies have been gaining widespread adoption in recent years. A blog from Car ADAS Solutions explores the concept of sensor fusion and ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

We may receive a commission on purchases made from links. While it may seem intimidating at first, there are plenty of easy DIY auto maintenance projects that even the most novice DIY-er can handle.

End-to-end (E2E) autonomous driving aims to simplify the traditional modular pipeline by directly mapping multi-sensor inputs to driving actions through deep learning, enabling joint optimization and ...

Industrial machines have long relied on a variety of sensors to execute their targeted mission and obtain the desired performance and reliability. Sensor fusion provides a more comprehensive approach ...

The ambitious advances made under the umbrella of autonomy have provided the survey, construction, and even commercial markets with a massive edge in recent years. Much like the space race more than ...

VINS-Fusion is an optimization-based multi-sensor state estimator, which achieves accurate self-localization for autonomous applications (drones, cars, and AR/VR). VINS-Fusion is an extension of ...