Results for tag: "Automotive Machine Vision"

In the field of computing, the Automotive Machine Vision market encompasses systems and technologies used for providing autonomous vehicles and advanced driver-assistance systems (ADAS) with visual capabilities. Machine vision within automotive applications involves the use of cameras, sensors, and artificial intelligence to enable a vehicle to perceive its surroundings, process visual data, and make decisions based on that information. This market is heavily intertwined with advancements in computer vision, machine learning, and image processing technologies. Machine vision systems in automobiles are critical for tasks such as lane detection, traffic sign recognition, obstacle detection, and driver monitoring, contributing towards enhanced safety and driving efficiency. The market is driven by a rising demand for automation, improved safety features in vehicles, and the ongoing development of fully autonomous vehicles. Several notable companies are active in the Automotive Machine Vision market, offering components, software, and integrated systems for various automotive applications. These companies include, but are not limited to, Mobileye (an Intel Company), FLIR Systems, Cognex Corporation, NVIDIA Corporation, and Texas Instruments. Additionally, traditional automotive companies such as General Motors, Ford, and Tesla are increasingly integrating machine vision technology into their vehicular designs. Show Less Read more