Abstract: Sensor fusion is vital for many critical applications, including robotics, autonomous driving, aerospace, and beyond. Integrating data streams from different sensors enables us to overcome ...

Assistance functions in cars rely on reliable automatic environment detection as close to real-time as possible. Anyone who has used such systems knows, however, that they are not always correct in ...

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 ...

It is always good to remember or be reminded that “If you cannot measure it, you cannot improve it,” as Lord Kelvin observed. This is certainly true for today’s newest design approaches, such as ...

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 ...

According to Sawyer Merritt, citing Waymo’s AI and foundation model lead Vincent Vanhoucke on Google’s DeepMind podcast, Waymo’s approach to autonomous vehicle safety relies on advanced sensor fusion ...

I live in New Jersey, one of the states that mandates inspection for all vehicles newer than 1995. My daily driver, a Jeep Cherokee, happens to be a 1996 model year with an OBD-II sensor, meaning I ...

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 ...