How do people buy cars and simply forget about them? How do they no longer need them soon after the purchase and park them for decades? If only this 1994 Ford F-150 SVT Lightning could speak, it would ...

Abstract: We propose a spatial autocorrelation aware, energy efficient, and error bounded framework for interpolating maps from sensor fields. Specifically, we ...

The National Highway Traffic Safety Administration (NHTSA) opened a new investigation into nearly 1.3 million Ford F-150 pickup trucks. According to documents from NHTSA, the affected trucks may ...

The fuel and spark strategies for a supercharged street car are only as smart as the sensors feeding data to the ECM. Here’s what happens when a blown beast’s MAP sensor can’t keep up, and how to fix ...

The manifold absolute pressure sensor, also known as the MAP sensor, is an important part of the car’s engine management system. The MAP sensor is found in vehicles with fuel injection, and the ...

*Estimated payments are calculated by Cars.com and are for informational purposes only. We’ve estimated your taxes based on your provided ZIP code. These estimates do not include title, registration ...

Studies have shown that many people don't commute by bike due mainly to a fear of being hit by cars. A new bike-mounted proximity sensor has been designed to help such folks, by objectively telling ...

Researchers have developed a system, called ProxiCycle, that logs when a passing car comes too close to a cyclist (four feet or less). A small, inexpensive sensor plugs into bicycle handlebars and ...

A University of Washington-led team has developed a system, called ProxiCycle, that uses a sensor plugged into handlebars to log when a passing car comes too close to a cyclist. Above, the team tests ...

Modern vehicles rely on a massive amount of electrical systems, sensors, and control modules to keep the wheels turning. Some of those devices are well-known, like your car's main computer or engine ...

Abstract: Traditional 2D Simultaneous Localization and Mapping (SLAM) algorithms commonly use occupancy grid map models, which are susceptible to Gaussian noise. The constraint information in the ...