From a technical point of view, the unmanned driving system can be divided into four parts: environment perception, intelligent planning and decision-making, adaptive control, and vehicle bottom-line control. The perception system is mainly acquired through sensors such as LiDAR, vision, and inertial navigation, and forms a decision through data processing.
At present, single-line LiDAR is mainly used in high-speed unmanned vehicles to assist in map building and obstacle avoidance. However, it is used in this Mini ROS fully open-source unmanned vehicle, like a fish in water.
This ROS fully open-source driverless car is only one percent of the size of a real car. It is a driverless verification platform that can bring users close to the real car experience. It meets the usual teaching and research and development and provides rich routines. At the same time, it supports multi-robot networking control to realize vehicle networking and vehicle-road coordination.
Realize the precise positioning of ROS unmanned vehicles
Looking around, this ROS fully open-source driverless car is the same as a real driverless car. A LiDAR is placed on the roof to scan and obtain the outline information of the surrounding environment and to know the specific location of obstacles, etc. Real-time positioning of vehicle information, customized according to road conditions.
Realize autonomous obstacle avoidance and navigation
ROS-based LiDAR builds SLAM maps for subsequent positioning and navigation.
Obstacle avoidance navigation
Various configurations, choose on demand
According to different usage scenarios of ROS unmanned vehicles, RPlidar series LiDAR of different specifications can be built in. Currently available are A-Series and S-Series LiDAR. Since LiDAR is less affected by light interference, LiDAR mapping works well in any light condition. In particular, our S-series LiDAR has been optimized for outdoor sunlight conditions, and its performance is even better, which can meet various indoor and outdoor needs.
Compatible with ROS, killing two birds with one stone
As a robot software platform, ROS can provide operating system-like functions for heterogeneous computer clusters. At present, all series of SLAM LiDAR has been compatible with ROS, and SLAMWARE ROS SDK has also been developed, which allows developers/users to directly develop and integrate SLAM robots in ROS based on the SDK, call and customize corresponding The service package of the navigation and positioning system realizes the corresponding robot functions, killing two birds with one stone.
SLAMWARE ROS SDK supports the development of Slamware’s full range of robot products
ROS mobile carts for other applications
Finally, it is not the first time that LiDAR has been applied in driverless cars and mobile cars, and the combination with ROS is also diverse, and it plays an irreplaceable role in algorithm verification, teaching research, and development. LiDAR, as one of the indispensable sensors, will be applied to more and more unexpected products in the future.