With our award-winning end-to-end solution for ground truth generation, we are the ideal partner for your annotation success at every stage of your project!
Whether you work on a traffic sign detection, an emergency brake assist or any other function, understand.ai addresses all common ADAS/AD use cases across 2D, 3D or 2D/3D sensor fusion projects.
We utilize ground truth annotations to train and validate the computer vision algorithms in the 2D driver monitoring system. This ensures the algorithms can effectively learn and accurately detect and interpret real-time driver behavior for improved driver safety and accident prevention.
We leverage ground truth annotated data to train and validate the detection, localizing and tracking of dynamic objects in a three-dimensional space for the development of reliable 3D dynamic object detection systems.
We utilize ground truth data annotations to ensure accurate algorithm training for reliable detection and analysis of lane markings from a top-down or "bird’s eye" perspective.
We apply ground truth 2D or 3D polyline annotation to precisely depict an object's boundaries or trajectories and enable reliable detection and tracking capabilities e.g., of lane markings, lane edges or poles.
We leverage ground truth data annotation to accurately label and annotate the boundaries and attributes of traffic signs in 2D images - enabling the reliable detection and classification of traffic signs with high precision.
We can address all use cases as 2D/3D sensor fusion projects by combining data from multiple 2D sensors, such as cameras or LiDAR to enhance perception of the environment in real-time.
We provide ground truth data for labeling 3D bounding boxes, accurately annotating the position, size, and orientation of objects in a 3D space.
We annotate 2D bounding boxes, precisely marking the location and dimensions of objects in a 2D image.
We provide ground truth data for 2D semantic segmentation, annotating each pixel in an image with the corresponding object class or category.
We label 2D/3D polylines, accurately annotating the shapes and trajectories of objects such as lane markings, lane edges or poles.
We provide ground annotations as 2D and 3D keypoints, precisely annotating the specific locations or landmarks of objects in both 2D images and 3D spaces.
We assign distinct classifications and attributes to categorize and provide additional properties or information on the state of an object.
In this reference case, we successfully implemented an innovative sensor calibration solution. We covered of a diverse range classes including vehicles, pedestrians, bi-wheelers, traffic lights, and traffic signs as well as over 50 attributes. We ensured seamless execution from inception to completion resulting in the successfull delivery of over 10 million annotations.