The Most Reliable Robot Mower Solution in 2024 with Mammotion cutting-edge 3D Vision and RTK Fusion System.
In the realm of robot mower, traditional navigation systems often fall short, leading to interruptions and inefficiencies during mowing tasks. The YUKA robot lawn mower, equipped with state-of-the-art 3D Vision & RTK Fusion Mapping System, revolutionizes the mowing experience. By leveraging this advanced technology, YUKA eliminates the need for perimeter wire burying and ensures precise navigation even in GPS-deprived environments.
In this blog post, we discuss why YUKA's innovative technology sets it apart from other brand-new vision robot mowers or RTK-based robot mower, making it the top choice for 2024.
3D Vision Mapping and Navigation System
VSLAM(Visual Simultaneous Localization and Mapping) enables robot mowers to navigate autonomously by simultaneously constructing a spatial map of their surroundings and determining their position using visual data. YUKA's 3D Vision can quickly generate real-time detailed VSLAM 3D maps of the yard with virtual boundary.
YUKA is a robot mower knows what to mow, what to avoid, and where not to cross. With its advanced dual-lens configuration and wide field of view of 116° by 90°, YUKA's 3D Vision （stereo vision) system replicates the intricate depth perception of the human eye. This offers enhanced accuracy in determining the location and geometry of objects.
As a result, YUKA's 3D Vision can accurately measure distances to objects and identify various types of obstacles such as tall grass, sand pits, animals, and other visual cues. This capability significantly reduces the chances of missed cutting and potential collisions and stuck, making it far superior to traditional 2D camera systems.
Position and Navigation of 2D Monocular Vision
Monocular camera sensors, including HDR cameras, panoramic cameras, flash cameras, and RGB cameras, are primarily utilized for 2D image processing and recognition. Consequently, the 2D vision system of robot mowers cannot obtain spatial coordinate information and shape of objects directly and stably
, rendering it more suitable for simplistic scenarios and basic obstacle avoidance tasks. However, its efficacy diminishes in complex environments where precise mapping and spatial awareness are essential.
Comparison Conclusion of 3D Vision and 2D Vision
In summary, both 3D Vision and 2D Vision technologies offer advancements in robotic lawn mowers. While both technologies have their merits, 3D Vision offers more superior accuracy, reliability, and computational efficiency for navigating and mowing in complex environments.
- Position Accuracy: 3D Vision excels in providing comprehensive spatial awareness, allowing for precise positioning in complex environments. In contrast, 2D Vision solely captures image features without spatial information.
- Mowing in Complex Yards: 3D Vision can directly calculate spatial positions and has wider FOV, eliminating the need for additional navigation aids like RFID tags, unlike some monocular vision systems.
- Dynamic Object Avoidance: 3D Vision can calculate the distance, size, and types of dynamic objects simultaneously, providing more comprehensive dynamic object avoidance capabilities compared to monocular vision.
- Reliability: With its higher resolution and stable feature extraction, 3D Vision is more reliable for position tracking and object avoidance compared to 2D vision with monocular vision.
- Cost and Complexity: While 3D Vision Fusion offers superior capabilities, it typically involves more complex structural design，higher-level algorithm development and requires more engineering ability compared to monocular vision systems.
Fusing Multiple Monocular Cameras is better?
TOF+Monocular Camera
The TOF sensor (Time-of-Flight) utilizes light pulses to measure the distance between objects and the sensor. It offers lower spatial resolution and a limited field of view (FOV) range, resulting in less detailed depth maps and positioning. TOF sensors are suitable for obstacle avoidance perception rather than precise position in robot mowers.
TOF and RGB cameras fusion have limited FOV and resolution, with TOF sensors affected by strong lights and dust. The Mammotion 3D Vision solutions offer wider FOV and higher resolution. However, in occluded or complex environments, they may lack stability and high-precision positioning, thereby hindering accurate path navigation.
Why 3D Vision and RTK Fusion system?
Each positioning technology and sensor has its own limitations depending on the scenario. RTK-GNSS technology offers precise and stable positioning in open sky areas but may encounter interruptions in GPS-obstructed areas. On the other hand, vision technology can maintain position and navigation capabilities in GPS-blocked areas, but factors like low light conditions, rain, or dirty lenses may affect accuracy and operational smoothness.
To address these issues, the Mammotion robot mower series utilizes a 3D Vision and RTK Fusion Mapping and Navigation System to deliver consistent performance and reliability regardless of environmental challenges.
Advantages of 3D Vision and Enhanced RTK Fusion Mapping system
- Dual-guaranteed wireless positioning to improve robustness and boundary awarness,ensuring mooth mowing efficiency and safety.
- Not Affected by tree occlusion: 3D Vision position keep it mow in no GPS signal areas under trees, under eaves, and in narrow areas.
- Resilient to environmental factors: RTK technology provides a reliable initial absolute position system, minimizing position inaccuracies and heavy rain or inconsistancy of the map due to the environment changes.
RTK installation Location Made Easy
Mammotion introduces the RTK Station Solar Panel Kit, ensuring flexible installation without the hassle of extended power cables. Moreover, the Mammotion App now features an enhanced RTK signal search function, enabling users to effortlessly locate the strongest RTK base station signal prior to installation.
In Conclusion,monocular and binocular algorithm fusion technology is continuing to subvert the robotics and autonomous driving industries. YUKA's 3D Vision and Enhanced RTK Fusion Mapping system represent the pinnacle of robot mower navigation technology, offering unparalleled accuracy, reliability, and performance. YUKA sets a new standard for robot mower solutions in 2024 and beyond. Over-the-air software updates keep you covered to address unexpected scenarios and strengthen Vision’s deep learning.
Experience the future of lawn care with the YUKA robot lawn sweeping mower. Pre-order now on Kickstarter and save up to $1150. Act fast as the Kickstarter campaign ends on March 20th.
