Ground Truth for Embodied AI
LiDAR, sensor fusion, and video tracking annotation for autonomous vehicles, drones, and industrial robotics. Build systems that navigate the real world safely.
Industry Overview
Autonomous vehicles and robotics require AI that deeply understands spatial reality. Dserve AI provides the complex, multi-modal annotation required to train embodied AI systems to safely navigate and interact with the physical world.
AI Challenges
Embodied AI relies on sensor fusion—combining 2D video with 3D LiDAR point clouds. Annotating this heavy, multi-dimensional data requires specialized tooling and incredible precision to prevent catastrophic real-world failures.
Dserve AI Solutions
We specialize in 3D sensor annotation. Our teams perform 3D cuboid bounding, semantic segmentation on LiDAR point clouds, and object tracking across synchronized multi-camera setups for self-driving cars, drones, and factory robots.
High-Impact AI Use Cases
Discover how our specialized data solutions power state-of-the-art models and drive measurable outcomes across real-world domain projects.
Autonomous Driving
3D cuboid annotation of vehicles and pedestrians in dense LiDAR point clouds for self-driving cars.
Specialized annotation pipeline designed for enterprise scale and accuracy.
AgTech Robotics
Semantic segmentation of crops and weeds in drone imagery to guide automated pesticide sprayers.
Specialized annotation pipeline designed for enterprise scale and accuracy.
Warehouse Automation
Tracking forklifts and human workers in CCTV to train collision-avoidance algorithms.
Specialized annotation pipeline designed for enterprise scale and accuracy.
Specialized Expertise
- LiDAR & 3D point cloud annotation
- Sensor fusion (2D to 3D mapping)
- Multi-camera synchronized data
- Video object tracking & interpolation
- Robotic arm grasping point annotation
Why Choose Us
Our annotators are highly trained on state-of-the-art 3D annotation tools. We understand the physics of movement, ensuring object interpolation and tracking are perfectly aligned across thousands of frames.
What tools do you use for LiDAR annotation?
We integrate with leading 3D annotation platforms and can adapt to your proprietary internal tooling via secure VPN.
Can you handle multi-sensor fusion data?
Yes, our teams routinely annotate synchronized datasets consisting of LiDAR, radar, and up to 8 surrounding camera feeds simultaneously.
How do you maintain tracking consistency across long videos?
We utilize AI-assisted interpolation combined with strict manual keyframe reviews to ensure object IDs remain consistent.
Do you collect egocentric video data?
Yes, we can deploy global crowds to capture first-person (egocentric) video of specific tasks for robotics training.
What is your QA process for 3D bounding boxes?
Every 3D cuboid is checked for yaw, pitch, roll, and tight fit across all three axes by a secondary QA specialist.
Ready to Accelerate Your AI?
Talk to our Autonomous Systems & Robotics data experts and start your custom pilot project today.
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