A similar approach can be used for mapping of the exact location of every stop sign, traffic light, lane line, and curb, valuable data that can also be used to train autonomous vehicles. Payver provides up-to-date information on highways and roads by using real-time images and detections collected from the hundreds of thousands of Nexar dash cams currently on America's roads and applying Blyncsy's proprietary machine learning models to understand the changing road conditions and visibility of pavement markings to create safer road conditions for drivers. The challenge for DOTs is knowing how their roads are performing on a daily basis with the ability to be proactive in fixing an issue before it's a problem. Most pavement markings are repainted only once a year, but with harsh weather conditions and degrading asphalt pavement markings oftentimes need to be repainted or maintained more often. Over 50 percent of fatalities on America's roadways – roughly 19,000 deaths annually – result when motorists leave their travel lanes, according to federal data. National studies show that effective marking of roadways saves lives. Nexar's billions of crowdsourced images will be used by Blyncsy's Payver technology and machine learning models to provide the necessary data and insights to keep our highways and roads safe. TEL AVIV, Israel, J/PRNewswire/ - Nexar, whose dash cams enable crowd-sourced vision, and Blyncsy, a movement and data intelligence company, announced a partnership to collect data on America's 4.1 million miles of public highway and provide actionable insights to the state and local governments that maintain them.
0 kommentar(er)
