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Detailed comparison of the difference between tof sensor and structured light
In contrast, structured light technology is more suitable for static scenes. The tof sensor solution has lower noise and...
Mowing the lawn outdoors is a tougher challenge than robot vacuum. The VSLAM navigation technology that integrates AI vision will be an indispensable part, and will bring greater possibilities for the autonomous driving of intelligent lawn mowers, thereby avoiding the current shortage of random lawn mowers. The core of VSLAM technology mainly includes visual cameras of inertial measurement units, such as monocular cameras, binocular cameras, and RGBD depth cameras. Due to the inherent deficiencies of structured light depth cameras, not only the perception distance is short, but also easily affected by external ambient light, the ToF camera has strong anti-interference ability outdoors, and is an excellent depth camera choice for lawn mowers.From the use of the ToF camera in the robot vacuum, it can be seen that the efficient cooperation between the ToF camera and the high-precision sensor can quickly realize the distance measurement and obstacle avoidance of obstacles. Through the ToF camera, VSLAM visual navigation can be established, accurate maps can be built intelligently, dynamic monitoring can be maintained during travel, and route planning and map management are more intelligent. The application of the ToF camera in the robot vacuum is more efficient and accurate than the traditional sweeper, the scanning area is increased by 4 times, and the mapping accuracy is increased by 5 times. Therefore, the application of the ToF camera to the lawn mower will also bring an excellent mowing experience, thereby effectively solving the two major pain points of cost and efficiency that are common in the current lawn mowing robots on the market.
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