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Five Lidar Use Cases for Smart Cities

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Five Lidar Use Cases for Smart Cities

The main use case for light detection and range (lidar) technology will continue to be in the automotive sector as vehicle makers include the sensors in advanced driver assistance systems (ADAS) and future self-driving cars. This article in Electronics 360 by Peter Brown suggest five lidar use cases specifically targeted for smart cities.

However, lidar use cases outside the automotive industry continue to grow as the technology is finding more ways to benefit smart farming, smart industry, surveying and mapping, and smart cities.

Lidar in Smart Cities

Lidar is one of the key technologies that will help in smart city infrastructure deployment. These sensors provide spatial data with immunity to low light conditions while maintaining privacy protections.

This allows the sensors to gather information about the city during the day as well as night, something some cameras are unable to accomplish. Here are five ways in which lidar is being implemented in current and future smart cities.

1) Traffic Monitoring

Using lidar for traffic monitoring will be a big step for smart cities. Because these sensors operate in low light conditions, they can monitor traffic flows both day and night. 3D lidar can be deployed to count cars in busy intersections across multiple lanes of traffic.

Additionally, the technology can identify different types of vehicles with better accuracy than standard cameras. This helps municipalities gain a greater understanding of where problems exist and why.

Quanergy Systems is working with Parifex, a smart city vendor, to use 3D lidar for highway speed monitoring and enforcement in France. The project is being deployed by the French government to improve safety on roadways and to discourage excessive speeding.

Velodyne is also testing the technology in smart city projects by combining artificial intelligence with lidar for real-time data analytics and predictions to improve traffic and safety on city streets. Generating this type of data from the sensors will help in future autonomous vehicle mapping as well as data on pedestrian, bicycle and other vehicle habits in all environmental conditions.

Velodyne’s solution creates real-time 3D maps of roads and intersections and collects data on lighting and weather conditions year-round. A single lidar can be installed on a traffic pole and cover an entire intersection, compared to radar or camera-based systems that typically need multiple devices.

For the complete article CLICK HERE.

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