The Silicon Valley-based LiDAR technology company has launched its Intelligent Infrastructure Solution – designed to solve some of the most challenging and pervasive infrastructure problems. This new solution combines Velodyne’s LiDAR sensors with Bluecity’s powerful AI software to monitor traffic networks and public spaces. It generates real-time data analytics and predictions, helping to improve traffic and crowd flow efficiency, advance sustainability, and protect vulnerable road users.

The solution is available for purchase exclusively from Velodyne. It has already been deployed in multiple North American cities with upcoming installations in New Jersey and more deployments across the United States.

Velodyne have also announced a sales agreement with Rutgers Center for Advanced Infrastructure and Transportation (CAIT) to deploy its Intelligent Infrastructure Solution equipped with Velodyne’s Alpha Prime LiDAR sensors. CAIT will install the solution at multiple intersections in New Brunswick, New Jersey as part of the Middlesex County – Smart Mobility Testing Ground (MC-SMTG) project in collaboration with the New Jersey Department of Transportation (NJDOT). This project will serve as a testbed for mobility data gathering, analysis, and sharing technologies that will help implement connected and autonomous vehicle systems in the future. CAIT selected the Velodyne solution after a rigorous vetting process, in which they tested other sensor solutions and competitive LiDAR systems.

Velodyne’s solution creates a real-time 3D map of roads and intersections, providing precise traffic monitoring and analytics. It can collect data in any lighting or weather condition – supporting 24/7 operation, 365 days a year. The solution advances safety through multimodal analytics that can detect various road users – including vehicles, pedestrians, and cyclists. It can predict, diagnose, and address road safety challenges – helping municipalities and other customers make informed decisions and take corrective action. It is more cost-effective, and easier to install, than radar- and camera-based systems. This lower price point is because a single LiDAR sensor installed on a traffic pole can cover an entire intersection or highway section (compared to radar- and camera-based systems, that typically need multiple sensors to cover the same area). The solution works with Velodyne’s Alpha Prime, Ultra Puck, Puck, and Velarray sensors.

Velodyne’s LiDAR sensors do not identify individuals’ facial characteristics – a growing concern for civic applications. LiDAR has an advantage in privacy over camera-only systems because it does not record sensitive information, such as hair and skin color.