LiDAR Annotation That Actually Ships
Stop wasting months on mislabeled point clouds. Our expert annotators deliver sub-centimeter precision for autonomous vehicles, robotics, and spatial mapping — with quality you can deploy to production.
Point Cloud Processing
Road Scene Analysis
Multi-Stage Validation
Production-Ready 3D Annotation Types
Your autonomous systems need different annotation strategies for different challenges. We deliver the exact type of 3D labeling your perception stack requires — with the precision to actually deploy.
3D Bounding Boxes
The foundation of object detection. Our annotators create precise cuboids with 9 degrees of freedom (x, y, z, length, width, height, yaw, pitch, roll) for every vehicle, pedestrian, and obstacle in your point clouds.
- Sub-centimeter precision for safety-critical applications
- Consistent orientation across frames for smooth tracking
- Occlusion handling for partially visible objects
Point-Level Segmentation
Every single point classified. We label individual points with semantic meaning — road, sidewalk, vegetation, building, vehicle — giving your models complete scene understanding.
- 50+ object classes for comprehensive scene understanding
- Drivable surface vs obstacle classification
- Custom ontologies for your specific use case
Temporal Object Tracking
Objects don't teleport. We maintain consistent IDs across frames, ensuring your perception stack can predict motion and plan safe trajectories.
- Frame-to-frame consistency for motion prediction
- Unique ID assignment across sequences
- Re-identification after occlusion events
Lane & Road Marking
The invisible infrastructure your AV needs. We annotate lane boundaries, road markings, curbs, and traffic signs with the precision required for path planning.
- Polyline annotation for lane boundaries
- Curb and sidewalk delineation
- Traffic sign position and orientation
Every Point Cloud, Perfectly Labeled
From autonomous vehicles to robotics and spatial mapping — we handle the complexity so you can focus on deployment. Our specialized teams deliver production-ready 3D annotations that actually work in the real world.
3D Bounding Boxes
Precise object detection and tracking in 3D space. Every vehicle, pedestrian, and obstacle accurately bounded with orientation and dimensions.
- 9 DOF annotations (x, y, z, l, w, h, yaw, pitch, roll)
- Object tracking across frames
- Occlusion handling
Semantic Segmentation
Point-level classification for complete scene understanding. Every point labeled with semantic meaning for navigation and planning.
- 50+ object classes
- Road surface analysis
- Vegetation & terrain classification
Lane & Road Marking
Critical infrastructure annotation for autonomous navigation. Lane boundaries, road markings, and traffic signs with centimeter precision.
- Lane boundary detection
- Curb & sidewalk mapping
- Traffic sign localization
Our LiDAR Annotation Process
Data Ingestion
Secure upload of your point cloud data with full GDPR compliance
Expert Annotation
Specialized teams label with sub-centimeter precision
Quality Review
Multi-stage validation ensures 98% accuracy target
Delivery
Export in your required format, ready for training
Six Industries. Zero Margin for Error.
Highway Autonomy
120km/h decision-making requires perfect 3D perception. Every frame matters when reaction time is 200ms.
Last-Mile Delivery
Sidewalk robots navigate crowds, curbs, and chaos. Annotation quality determines delivery success.
Construction Sites
Daily progress tracking via drone LiDAR. Volumetric calculations determine project timeline.
Warehouse AMRs
Autonomous forklifts threading 10cm clearances. One misannotation equals damaged inventory.
Rail Infrastructure
Track geometry degrades 0.1mm daily. LiDAR catches deviations before derailments.
Precision Agriculture
Crop height variance predicts yield. Every plant counted, every irrigation gap mapped.
Technical Requirements by Industry
| Annotation Type | Highway | Delivery | Construction | Warehouse | Rail | Agriculture |
|---|---|---|---|---|---|---|
| 3D Bounding Boxes | — | — | — | |||
| Semantic Segmentation | — | |||||
| Temporal Tracking | — | — | — | |||
| Point Density | 200 pts/m² | 500 pts/m² | 100 pts/m² | 1000 pts/m² | 2000 pts/m² | 50 pts/m² |
Why Teams Choose YPAI
Not because we're "cutting-edge." Because we deliver accurate labels, on time, at scale. Here's exactly how.
Real LiDAR Specialists
500+ full-time annotators. 120 hours training on point clouds. They know occlusion patterns, sensor artifacts, and why that weird cluster is just a reflection.
Smart Pre-Labeling
ML handles ground removal, basic clustering. Humans fix what matters: edge cases, ambiguous objects, safety-critical decisions. 3.2x faster than pure manual.
Triple Validation
Critical frames get 3 annotators. Automated geometry checks. Senior review. Result: 0.02% error rate on safety-critical objects. That's 1 error per 5,000 labels.
Production Scale
12 annotation centers. Parallel processing. Real-time quality monitoring. We've done 2M frames in a week. Quality stayed at 0.97 mAP throughout.
Your Pipeline
Velodyne, Ouster, Luminar input. KITTI, nuScenes, custom JSON output. Direct API or batch delivery. We adapt to your workflow.
Actually Secure
ISO 27001. AES-256. Full audit logs. Your data never trains our models unless licensed. Zero breaches since 2019.
Honest Assessment
Four Steps. Five Days. Done.
No lengthy onboarding. No complex setup. Upload data, get annotations.
Upload Sample
100-1000 frames. Any LiDAR format. Secure transfer.
Define Requirements
Technical alignment. Edge cases. Custom guidelines.
Receive Pilot
Annotated frames. Quality report. Feedback iteration.
Production Scale
Full pipeline. API integration. Continuous flow.
Test on Your Data First
No generic demos. No simulated scenarios. Pilot program available for qualified projects. See our annotation quality on your actual sensor data before committing to scale.
Choose Your Starting Point
Scale Your LiDAR Pipeline
From autonomous vehicles to robotics and spatial mapping — our expert annotators deliver sub-centimeter accurate 3D bounding boxes, semantic segmentation, and temporal consistency. Get production-ready annotations that actually work.
GDPR & Data Protection at Your Personal AI
Protecting personal data is at the core of everything we do. We operate in full alignment with the EU General Data Protection Regulation (GDPR) and apply its principles across all of our global projects.
Privacy by Design
All of our data collection and annotation workflows are designed with privacy and compliance in mind from the very beginning. We only process the minimum amount of personal data required, and every project undergoes a structured review to identify and mitigate privacy risks before launch.
Lawful Basis & Consent
We establish a clear legal basis for each processing activity. Where consent is required, it is gathered transparently, with participants informed about the scope of the project, the purpose of the recordings, and their rights under GDPR. Consent can be withdrawn at any time without penalty.
Data Subject Rights
We respect and enable all rights under GDPR. Requests are handled promptly and without unnecessary delay.
Secure EU Storage
All sensitive data is stored in secure, access-controlled environments within the European Union by default. If cross-border transfers are required, we use the European Commission's Standard Contractual Clauses (SCCs) and ensure equivalent protection.
Vendor & Sub-Processor Management
We maintain a strict register of all sub-processors. Every vendor undergoes a compliance review and is bound by contractual data protection obligations. We never use sub-processors without prior vetting and contractual safeguards.
Continuous Governance
Our compliance framework is not static. We conduct regular internal audits, update our practices in line with evolving guidance from EU regulators, and train our teams to ensure privacy is embedded in day-to-day operations.