3D Cuboid & Bounding Box Annotation
Precise 3D oriented bounding boxes (x, y, z, length, width, height, and yaw/pitch/roll) fitted to static and dynamic objects across raw point clouds for spatial perception models.
LIDAR & 3D POINT CLOUD ANNOTATION
Precise 3D Annotation for Spatial Perception Systems.
3D perception depends on more than placing boxes around visible objects. LiDAR datasets require consistent spatial geometry, object orientation, class rules, point-level decisions, and frame-to-frame identity management. Josisoft builds 3D annotation workflows around your sensor configuration, taxonomy, cuboid standards, coordinate system, and QA criteria so production datasets remain geometrically consistent across scenes and sequences.
Talk to a Data SpecialistVehicle #021Vehicle #034Pedestrian #008Cyclist #004SENSOR ORIGINFRAME 00628 / POINT VIEW
Core LiDAR & 3D Annotation Capabilities
Point-Level 3D Semantic Segmentation
Point-by-point semantic classification assigning environmental class labels (e.g., drivable surface, sidewalks, vegetation, barriers) across dense, multi-million-point spatial point clouds.
3D Instance Segmentation
Spatial cluster delineation assigning distinct instance IDs and exact point memberships to separate entities of the same class within dense, overlapping, or cluttered point scenes.
3D Panoptic Segmentation
Unified spatial scene parsing combining background surface categorization ("stuff") with individual object cluster detection ("things") for complete 3D environment modeling.
3D Semantic Occupancy & Voxel Grids
Volumetric discretization converting continuous point clouds into structured 3D voxel grids, annotating semantic occupancy states and free-space geometry for vision-centric perception.
Sequential 3D Object Tracking
Temporal tracking of 3D bounding geometry across continuous LiDAR sweeps, preserving persistent track IDs, spatial velocity, acceleration vectors, and heading continuity.
Sensor Fusion (2D/3D Calibration)
Cross-sensor projection and bidirectional alignment linking 3D LiDAR point clouds with synchronized 2D RGB cameras, thermal sensors, and radar returns with zero spatial misregistration.
HD Map Vectorization & Road Polylines
Extraction of 3D spatial polylines and vector splines defining road centerlines, lane boundaries, curbs, guardrails, crosswalks, and utility corridors directly within survey-grade point clouds.
6-DoF Pose & CAD Model Alignment
Superimposition and spatial fitting of canonical 3D CAD meshes onto sparse or noisy point clusters to establish precise 6 Degrees of Freedom (x, y, z, roll, pitch, yaw) for robotic manipulation.
3D Skeletal & Spatial Keypoints
Multi-node anatomical joint and landmark tracking in true 3D spatial coordinate space (x, y, z) for spatial XR interaction, humanoid robotics, and biomechanical analysis.
3D Mesh & Textured Surface Annotation
Semantic and structural component labeling applied directly to reconstructed 3D surface meshes (OBJ, STL, PLY) and photogrammetry assets for industrial digital twins and simulation.
Aerial & ASPRS LiDAR Classification
Standardized classification of airborne and drone-acquired point clouds complying with ASPRS standards, separating bare earth, vegetative canopy tiers, transmission lines, and building rooftops.
Radar Point Cloud & Micro-Doppler Annotation
Annotation of sparse 4D imaging radar point clouds, filtering noise artifacts, ground clutter, and tagging range-azimuth-Doppler returns for all-weather perception stacks.
Tooling & Platform-Agnostic Execution
Client-Hosted Platforms
Our 3D annotation teams can work directly inside client-approved environments supporting LiDAR and point-cloud workflows, including platforms such as CVAT, SuperAnnotate, Kili Technology, Segments.ai, Scale-compatible tooling, or other approved 3D labeling interfaces.
CVATSUPERANNOTATEKILISEGMENTS.AI
Proprietary Client Consoles
Annotators can operate within client-owned 3D labeling systems through approved secure access, following your existing coordinate conventions, cuboid standards, class taxonomy, sensor synchronization, hotkeys, and review workflow.
CLIENT UIVPNPOD
Josisoft Managed Infrastructure
When no production annotation environment is available, we can configure controlled project workspaces around your point-cloud format, sensor setup, object taxonomy, 3D annotation rules, role permissions, and QA stages.
CONTROLLEDCONFIGUREDMANAGED
Real-World LiDAR & 3D Applications
CUBOID / TRACK / ROAD
Autonomous Driving & ADAS
3D cuboids, point segmentation, object tracking, road users, obstacles, drivable surfaces, and sensor-fusion datasets for vehicle perception and scene understanding.
NAVIGABLE
OBSTACLE
OBJECT / ZONE / DEPTHRobotics & Autonomous Systems
Annotate people, equipment, obstacles, shelves, industrial objects, navigable regions, and spatial relationships for mobile robots, warehouse systems, and autonomous machines.
MAP / STRUCTURE / POINTS
Mapping & Smart Infrastructure
Point-cloud classification and 3D labeling for roads, poles, signs, buildings, vegetation, utilities, street furniture, and urban infrastructure captured from mobile or stationary sensors.
ASSET / STRUCTURE / SPACE
Industrial & Construction Environments
3D annotation of machinery, materials, structures, work zones, assets, and spatial conditions for inspection, digital-twin, automation, and site-understanding datasets.
Security, Compliance & Workforce Governance
Mandatory Bilateral NDAs
Every annotator, QA reviewer, and project manager signs an NDA before accessing project assets.
Security & Clean-Room Training
Personnel are trained on data confidentiality: strict restrictions on screen sharing, zero tolerance for screen recording or screenshots, and supervised session management.
Governed Physical Delivery Hub
On-premise operations at our central Durgapur facility enforce controlled local networks, restricted USB and removable media ports, and supervised work environments.
Isolated Hybrid Pods
Each client is assigned a dedicated team working in siloed environments, preventing cross-project data contamination and maintaining domain context.
CLIENT DATA BOUNDARY
CONTROLLED ACCESS
ISOLATED PODNDA · VPN · SUPERVISION
START A PROJECT
Request a Pilot BatchStart With a Calibrated 3D Annotation Pilot.
Share a representative point-cloud sample, sensor configuration, class taxonomy, cuboid guidelines, and QA requirements with our delivery team. We will calibrate the spatial rules, annotate a controlled pilot batch, review geometry and edge cases, and return the sample for acceptance before production scaling.