Abstract: Modern autonomous driving perception systems utilize complementary multi-modal sensors, such as LiDAR and cameras. Although sensor fusion architectures enhance performance in challenging ...

Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation. In-process quality ...

In addition to improved performance from individual sensing technologies, including radar and light detection and ranging (LiDAR), other ongoing advances for sensor fusion are required for more ...

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 ...

If you build engines, tune cars, or even just like mashing your foot on the throttle with conviction, you’ve probably heard the term “wideband O2 sensor” being thrown around at the track, dyno ...

Current CEO Jim Farley has lasted longer than most Ford Motor Co. (NYSE: F) chief executives, but his results speak for themselves. Here are several logical replacements that the board should consider ...

A new custom sensing solution enables precise, responsive, and context-aware motion tracking for smart glasses at an ultra-low-power consumption. That ensures high-accuracy head tracking, stable image ...

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 ...

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 ...