YADO, LIDAR Processing Platform Driven by Machine Learning
Patent Pending Detection and Classification of Objects found in LIDAR Data, Driven by Artificial Intelligence
The complete LIDAR processing platform driven by intelligence
YADO, a software platform capturing reality through automated LIDAR (Light Detection And Ranging ) data processing. Our software platform can be deployed locally, on AWS and MobileEdgeX, the first 5G Ready LIDAR solution
Our patented (pending) platform gives unprecedented processing speed, great accuracy (less 5-10 cm) and enormous detail for any object such as traffic signs, light poles, trees, roofs and any other object after trained by our algorithms.
The YADO platform enables recognition and prediction of actions for connected devices (IoT) using Machine Learning driven automated detection and classification power
The near real time processed data, results in actionable Computer Vision, giving customers capabilities to experience real life scenarios using cutting edge technology.
LIDAR data processing, and through the YADO platform in particular offers solutions for many applications, including
The YADO algorithms are more accurate at object recognition than humans and these, in turn, will make the roads available to fully autonomous and connected vehicles for they allow detection & classification of multiple objects, improve perception, reduce power consumption and enable identification and prediction of actions.
LiDAR can be used for a lot more than an inventory of assets. YADO allows for sharing the powerful LIDAR data everyone who needs it. We make LiDAR data available to everyone through mapping, and people are able to more efficiently do their jobs. Anybody who has a browser, anybody who has a computer can do analysis.
Whether from airborne LIDAR or drone collected imagery, 3D point clouds have become a critical base mapping layer. YADO provides tools from rapid visualization and derived product generation through advanced features such as automatic ground classification and building footprint extraction.
LIDAR’s high resolution and accuracy has enabled it to be used in the creation of maps. Used in conjunction with aerial photography, LiDAR can assist in road, building and vegetation mapping. The 3D aspect of LiDAR makes it especially suitable for mapping terrain models, including complex mountain topography. Other topographical data can be derived from LiDAR such as high-resolution contour maps.
Lidar and in particular YADO
compelling use cases
We create accurate 3D Maps for soil, floodplans, as well as maps for identifying natural resources
Anything autonomous rely on actual data. With LIDAR the GPS dependency no longer exists, and allows for the most actual maps when navigating
Precision farming is not only practiced on large farms, but on farms of any size, and 3D maps can play a big role.
Understand the impact of placing broadcasting towers, antennas, satellite dishes and other means of communication in order to achieve the highest output
Understanding landslides, geologic while planning new gas and oil fields, but also managing inventory of assets required to manage oil and gas fields
Think about how our intelligence can be used for designing recreative landscapes, lakes, racetracks, golfcourses etc.. The same goes for urban planning
Key to managing nowadays harbors and ports is to know the strength of quay equipment, but also the see below foliage. LIDAR can help understand the infrastructure
Analyze the potential and impact of solar panels, wind turbines or hydroelectric energy using 3D Maps. LIDAR is being used for planning of many different energy initiatives
While being in the planning phase and before building constructions, 3D Maps will help you plan, understanding the environmental dynamics. This goes for construction and urban planning
Proven to process the most complicated LIDAR data sets
Large-Scale Point Cloud Classification Benchmark
3D point cloud classification is an important task with applications in robotics, augmented reality and urban planning. Recent advances in Machine Learning and Computer Vision have proven that complex real-world tasks require large training data sets for classifier training. At the same time, until now there were no data sets for 3D point cloud classification which would be sufficiently rich in both object representations and number of labeled points.
This benchmark closes the gap and provides a large labeled 3D point cloud data set of natural scenes with over 4 billion points in total. It also covers a range of diverse urban scenes: churches, streets, railroad tracks, squares, villages, soccer fields, castles to name just a few. The point clouds we provide are scanned statically with state-of-the-art equipment and contain very fine details. The goal of Semantic3D goal is to help data-demanding methods like deep neural nets to unleash their full power and to learn richer 3D representations than it was ever possible before.
YADO has participated in this benchmark and is proud to say, that with limited funding and limited resources we made it to the TOP 5, using our patent pending algorithms and powerful LIDAR processing platform.
Partner Use Cases
The autonomous car that hangs on the cloud back-end needs solutions for speed. The magic words are low latency. Latency refers to the time needed to access the (required) data. The manufacturers rely on a mix of edge computing (dispersed computer power close to the car), on-board/embedded intelligence and fast network connections such as 5G.
Not only autonomous cars benefit from this speed; it can also be used profitably in development and production. Wherever speed has made it impossible to realize certain services, low latency based on fast networks and edge computing gets services on their feet. Low latency thus opens new doors for opportunities provided by mobile services
Low latency solutions can be used profitably in the production process and while driving the car. YADO gives the car senses from an infrastructure perspective and processes LIDAR data in near real time, maximizing the power of 5G. Proud to say that YADO is the first company who has fully deployed its platform on MobileEdgeX, which is powering the world’s first public mobile edge network with live developer use cases. This is the first time tier one private mobile infrastructure is directly available to 3rd party application developers and device makers.
YADO is a partner of Deutsche Telekom and MobileEdgeX, and its propositions like Smart City, Infrastructure to Vehicle are actively being promoted by Deutsche Telekom.
YADO, Digital Eyes Driven By LIDAR Artifical Intelligence