Enhance object detection and classification accuracy through precise 3D visualization using LiDAR data. Our comprehensive annotation services power the next generation of autonomous systems and spatial intelligence applications.
Advanced LiDAR data annotation services for autonomous systems and spatial intelligence
Our 3D Point Cloud Annotation services provide highly detailed labeling using 3D bounding boxes, capable of detecting objects as small as 1 cm. These annotations include class-specific labels and are essential for autonomous systems operating in both indoor and outdoor environments. Motion detection across video frames is also supported for dynamic object tracking.
We help annotate various lane types within point cloud maps—critical for ensuring safe navigation of autonomous vehicles. Our annotations are precise, object-oriented, and include class labels for each lane and object, enabling high-level accuracy in 3D space.
Our team uses advanced tools to create 3D bounding boxes that capture object characteristics such as size, location, orientation, pitch, and velocity. This allows for robust detection and tracking of diverse objects, including pedestrians, cyclists, and designated drivable zones, across varied terrains.
Transforming industries with precise 3D point cloud annotation for autonomous systems and intelligent applications
Train your autonomous systems using expertly annotated LiDAR data to detect road obstacles, vehicles, signals, and pedestrians for safe navigation.
Integrate annotated 3D data with AI in security drones and surveillance cameras to detect depth and recognize humans, vehicles, animals, and potential threats in real time.
Use 3D point cloud annotation to generate topographical insights, enabling AI-driven decisions for crop planning, resource optimization, and land management.
Industry-leading accuracy and capabilities in 3D point cloud annotation
Our proven methodology ensures precise 3D annotations for your LiDAR data and autonomous systems
We analyze your point cloud data and define annotation requirements for optimal 3D object detection.
Configure 3D bounding boxes with precise size, location, orientation, and velocity parameters.
Apply class-specific labels to lanes, vehicles, pedestrians, and environmental objects.
Multi-level validation ensures accuracy in 3D space with motion tracking verification.
Let's discuss your 3D point cloud annotation needs and create a custom solution that powers your autonomous systems and spatial intelligence applications.
1cm accuracy with comprehensive object tracking
Dynamic motion detection and tracking