What is the LDS laser navigation technology on the Xiaomi Robot Vacuum X20 Pro?
The LDS laser navigation technology on the Xiaomi Robot Vacuum X20 Pro uses high-speed 360° continuous rotation while emitting invisible laser and receiving reflected light. It measures the relative positions of boundaries and the device itself, draws a complete map of the boundaries, and accurately determines the device's position on the map in real-time.
Compared with VSLAM (Visual Simultaneous Localization and Mapping), the LDS laser navigation technology has the following advantages:
1. LDS sensors can quickly scan and map the environment, allowing the robot to navigate more efficiently and create accurate maps of the cleaning area;
2. LDS laser navigation uses laser beams to map the environment and detect obstacles, which works well in low light or dark conditions. VSLAM, on the other hand, relies on visual sensors that will struggle in poor lighting;
3. Laser navigation is less affected by environmental changes such as shadows, light reflections, or changes in the appearance of surfaces, which can impact the performance of visual-based systems;
4. LDS is effective in complex or cluttered environments, where visual navigation systems will have difficulty interpreting the scene due to overlapping objects or clutter.
Compared with VSLAM (Visual Simultaneous Localization and Mapping), the LDS laser navigation technology has the following advantages:
1. LDS sensors can quickly scan and map the environment, allowing the robot to navigate more efficiently and create accurate maps of the cleaning area;
2. LDS laser navigation uses laser beams to map the environment and detect obstacles, which works well in low light or dark conditions. VSLAM, on the other hand, relies on visual sensors that will struggle in poor lighting;
3. Laser navigation is less affected by environmental changes such as shadows, light reflections, or changes in the appearance of surfaces, which can impact the performance of visual-based systems;
4. LDS is effective in complex or cluttered environments, where visual navigation systems will have difficulty interpreting the scene due to overlapping objects or clutter.
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