Lane geometry, road markings, signs and 3D map layers labeled from camera and LiDAR data, with QA built for safety-critical driving. Start with a free 48-hour pilot.
HD mapping for autonomous vehicles depends on maps that are accurate to the lane: where each lane runs, how lanes connect, what every sign and marking means and where drivable space ends. Annotera’s HD map annotation turns camera imagery and LiDAR point clouds into those map layers, with annotators trained on your map specification and three-layer QA on every tile or segment.
We label lane boundaries and centerlines, lane topology, road markings, traffic signs and signals, poles and barriers, and the 3D features that localization depends on, and we validate map updates when roads change. HD map work sits alongside our wider autonomous vehicle annotation and LiDAR annotation services.
Every project follows a written map specification covering classes, attributes, geometry rules and tolerances.
Lane edges, centerlines and lane types traced as precise polylines along every road segment.
Lane connections, merges, splits and turn relations that tell planners which paths are legal.
Arrows, stop lines, crosswalks and painted symbols labeled by type and position.
Traffic signs and signals located, classified and linked to the lanes they control.
Poles, curbs, barriers and other landmarks labeled in point clouds for localization.
Road surface, shoulders and no-go zones segmented to define where a vehicle can drive.
Features matched across camera and LiDAR so map layers line up in 2D and 3D.
New lanes, closures and signs flagged and labeled so maps stay current.
HD maps need tighter geometry and stricter rules than perception labels. Each program is staffed for the map layers you need.
Annotators trained on your map specification, geometry rules and tolerances before production.
Point cloud specialists handle LiDAR layers, sensor fusion and 3D feature placement.
Independent QA checks geometry, attributes and topology on every tile before delivery.
A structured start makes sure the map layers match your specification before volume arrives.
We turn your map specification into written rules with worked examples and a gold set of tiles.
Annotators label a pilot set, usually within 48 hours, which your team reviews before the rules are final.
Batches ship with QA scores and issue logs, and the team grows with your map coverage.
Teams use Annotera when they need map annotation that is precise, consistent and secure, from a partner already supporting autonomous vehicle and robotics programs.
Our teams support live robot and AV operations: 656,000+ sessions with zero accidents.
Three-layer QA with geometry, attribute and topology checks, scored against a gold set of tiles.
Delivered in the schema and conventions your mapping pipeline expects.
ISO/IEC 27001:2022 and SOC 2 Type II certified operations, with annotator NDAs.
Test us on your own drives, scored against your acceptance criteria.
Teams scale with your coverage, drawing on Fusion CX’s 17,000 people across 40 delivery centers in 13 countries.
Answers on map layers, sensors, quality and getting started.
HD map annotation labels the lane-level detail autonomous vehicles use to localize and plan: lane boundaries and centerlines, lane connections, road markings, traffic signs and signals, and 3D landmarks. It is done on camera imagery and LiDAR point clouds to a strict map specification.
HD maps give a vehicle prior knowledge of the road beyond what its sensors see in the moment: exact lane geometry, which lane leads where and which rules apply. That supports localization, planning and handling occlusions, which is why HD mapping for autonomous vehicles needs consistent, lane-accurate annotation.
Perception annotation labels moving and static objects in each frame for detection models. HD map annotation labels the permanent road structure as map layers, with tighter geometric tolerances and topology rules. Many programs need both; see our autonomous vehicle annotation services.
Yes. We label 3D map features in point clouds and match them with camera imagery so layers align in 2D and 3D. See our LiDAR annotation services for 3D work beyond mapping.
Three-layer QA checks geometry, attributes and topology against the specification and a gold set of tiles, with per-class accuracy and issue logs on every batch.
Yes. We review new drives against the existing map, flag changes such as new lanes, closures and signs, and label the updates so your map stays current.
Work runs in ISO/IEC 27001:2022 and SOC 2 Type II certified operations, with role-based access, annotator NDAs and secure environments. Your data is never reused for other clients.
A pilot set is usually delivered within 48 hours of agreeing the specification. Production ramp time depends on map layers, sensors and coverage and is agreed during the pilot.
