Technology has already been getting into the mobility market for several years. Regarding road safety, PARIFEX chose the 3D-LiDAR technology to strengthen its speed control systems.
3D-LiDAR, the outsider in speed control systems
The 3D-LiDAR sensor creates a 3D map through point clouds and makes it accurate to the centimeter. “PARIFEX has decided to include the 3D-LiDAR in its existing solutions to meet French Ministry of Interior needs. Indeed, the French Ministry needed a fixed sensor including a wide field of vision. That is why PARIFEX chose this technology including a 360 degree vision unlike the traditional speed cameras able to scan a limited field of view.”, says Désiré Codo, PARIFEX’s R&D Director. Even though most of 3D-LiDAR sensors have been designed for a mobile use, principally for autonomous vehicle 
management, PARIFEX decided to distort it and add it in its fixed road sensors including NANO and NANO-CAM sensors.
A 360-Degree view
Set up overhead, the 3D-LiDAR sensor enables a 360- Degree view and then a better space detection than other sensors. “Unlike an usual speed control system that needs a specific orientation, the small and light 3D-LiDAR sensor is easy to set up in any orientation and requires little processing power to offer reliable and accurate control.” precises Codo.
3D-LiDAR vs camera
According to him “The 3D-LiDAR offers better capabilities than the camera. Even though the camera detects the reality with two-dimensional images whose quality depends on daylight, the 3D-LiDAR gets a 3D point cloud with a constant quality whether in daylight as well as at night, even if in humidity conditions. The point clouds are lighter than an HD image and that makes 3D LiDAR a strong solution for onboard real time solutions.” Through the quick image processing time, it enables an increased reactivity and real time data collection. Moreover, the reliable reality modelling allows a better vehicle classification.
A unique sensor
While various sensors were necessary to classify different kinds of vehicles such as cars, trucks, motobikes…, only one 3D sensor is enough for a multiple detection. “With a unique sensor, the risk of desynchronization between sensors disappears since all the data came from the same device in real time.” adds Codo.
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