Accelerating Autonomous Driving with Precision AI
Drive the future of transportation with Axonate Tech's specialized autonomous vehicle data annotation services. Our expert team delivers high-precision training data for self-driving cars, ADAS systems, and mobility solutions through advanced 3D cuboid annotation, LiDAR point cloud labeling, semantic segmentation, and sensor fusion—enabling vehicles to perceive, understand, and navigate complex road environments with human-level accuracy.
From object detection and lane recognition to traffic flow analysis and parking management—we provide the comprehensive annotation infrastructure that autonomous vehicle companies need to train robust perception models, validate safety systems, and accelerate time-to-market for next-generation transportation technology.
Power Your AV SystemsAutonomous Vehicle Data Pipeline
Sensor Data Capture
LiDAR, camera, radar input
3D Object Detection
Cuboid annotation
AI Model Training
Perception algorithms
Quality Validation
Multi-tier QA review
Deployment Ready
Production datasets
99.9% Accuracy
Safety-critical
Million+ Frames
Scalable
Core Annotation Technologies
Multi-modal data labeling for comprehensive vehicle perception
Object Detection
2D bounding boxes for rapid vehicle, pedestrian, and obstacle identification. 3D cuboid annotation for spatial understanding and distance estimation. Point cloud segmentation for LiDAR-based perception enabling precise object localization in 3D space.
Road & Lane Recognition
Polygon annotation for drivable area segmentation and road boundary detection. Semantic segmentation for surface classification (asphalt, concrete, gravel). Polyline annotation for lane markings, center lines, and road edge detection critical for navigation.
Autonomous Vehicle Use Cases
Self-Driving Cars
End-to-end perception training data for fully autonomous passenger vehicles navigating urban and highway environments.
Traffic Detection
Multi-class object detection including vehicles, pedestrians, cyclists, motorcycles, and traffic infrastructure.
Lane Marking Recognition
Precise polyline annotation for solid lines, dashed lines, double lines, and road edge detection.
Traffic Flow Analysis
Vehicle trajectory tracking and behavior prediction for intelligent traffic management systems.
Parking Management
Parking space detection, occupancy monitoring, and automated valet parking system training.
Road Condition Monitoring
Surface defect detection, pothole identification, and infrastructure assessment for maintenance.
License Plate Recognition
OCR-ready annotation for automated toll collection, parking systems, and vehicle identification.
Driver Monitoring
Facial landmark detection for attention tracking, drowsiness detection, and driver safety systems.
Advanced Annotation Methods
3D Cuboid Annotation
Volumetric bounding boxes with orientation, depth, and dimension information for spatial reasoning.
Point Cloud Labeling
LiDAR and radar data annotation classifying millions of 3D points for comprehensive environment mapping.
Semantic Segmentation
Pixel-level classification of roads, sidewalks, vegetation, buildings, sky, and dynamic objects.
Instance Segmentation
Individual object separation distinguishing multiple vehicles, pedestrians, and obstacles.
Sensor Fusion Annotation
Multi-modal labeling across camera, LiDAR, radar, and ultrasonic sensor data streams.
Temporal Tracking
Object ID consistency across video frames enabling trajectory prediction and behavior analysis.
Object Categories
Vehicles
Cars, trucks, buses, motorcycles, bicycles
Vulnerable Road Users
Pedestrians, cyclists, wheelchair users
Traffic Infrastructure
Signals, signs, barriers, cones
Road Features
Lanes, crosswalks, speed bumps, intersections
Environment
Buildings, vegetation, sky, terrain
Why Choose Axonate Tech for Autonomous Vehicles
Safety-Critical Accuracy
99.9% annotation precision with multi-tier validation ensuring safety-critical perception model performance.
Scalable Infrastructure
Process millions of frames and point clouds with consistent quality for large-scale autonomous fleets.
Custom Taxonomies
Flexible annotation schemas supporting proprietary object classes and unique sensor configurations.
Diverse Scenarios
Experience across urban, suburban, highway, rural, and adverse weather driving conditions worldwide.
Enterprise Security
ISO 27001 certified with strict NDA protocols protecting proprietary vehicle algorithms and data.
Quality Metrics
Comprehensive QA reporting with inter-annotator agreement scores and continuous improvement tracking.
Build Safer Autonomous Vehicles
Partner with Axonate Tech to accelerate your autonomous driving development. Our precision annotation services provide the high-quality training data foundation for perception systems that save lives and transform mobility.