May 1, 2016 @ 09:03 |
Autonomous robotics have gone through a lot of evolution in the last few decades. One of the technology that has be most talked and invested on 3D LiDAR. Keeping in mind that the self-driving car and Drone market have massive growth potential over the next decade, Velodyne introduced new 3D LiDAR (Light Detection And Ranging) sensor- Puck LITE. This is the lightest version of company’s 3D LiDAR sensors.
In Robotics, LiDAR technology mainly used to perceive the environment. Lidar is popularly used as a technology to make high-resolution maps, Localization, obstacle detection and avoidance. The ability of lidar technology to provide 3D maps of the terrain and distance measurement with millimeter accuracy & high precision makes ideal for Self-driving cars.
Due to heavy weight and high cost the older versions are not suitable for small Drones and mini robots. But this Velodyne LiDAR’s Puck LITE is a lighter weight version of the VLP-16 PUCK for applications that demand a lower weight to meet their requirements. The Puck LITE has identical performance to VLP-16 with the only difference in weight of 590 g vs. 830 g for the latter. No other changes have been made to Puck LITE as it retains its patented 360° surround view to capture real-time 3D LiDAR data that includes distance and calibrated reflectivity measurements.
The Puck LITE has a range of 100 m with dual return mode to capture greater detail in the 3D image while the power consumption is approximately 8 W. A compact footprint (Ø103mm x 72mm) and an industry leading weight of 590 g for a LiDAR sensor with high resolution makes it ideal for UAV/drone and mobile applications in the areas of 3D mapping/imaging, inspection and navigation.
It supports 16 channels and generates 300,000 points/second from a 360° horizontal field of view and a 30° vertical field of view with ±15° from the horizon. The Puck LITE has no visible rotating parts and is encapsulated in package that allows it to operate over a wide temperature range (-10°C to +60°C) and environmental conditions (IP67).
- Explore Further: Evolution of Self Driving Autonomous CAR
- Image: VelodyneLiDAR