MULTI-SENSOR FUSION

High-quality and Scalable Multi-Sensor Fusion Data Annotation for Autonomous Mobility.

Multi-sensor fusion

SENSOR FUSION

FOR 3D PERCEPTION

  • Multi-sensor Fusion: At iMerit, we excel at multi-sensor annotation for the camera, LiDAR, radar, and audio data for enhanced scene perception, localization, mapping, and trajectory optimization.
  • Ground-Truth Accuracy: Our teams use 3D data points with additional RGB or intensity values to analyze imagery within the frame to ensure that annotations have the highest ground-truth accuracy.
  • Merged point cloud: Merged point cloud unifies all coodrinates into single frame and eliminate manual frame traversal, offering a holistic view of object sequences.
  • API’s and Automation: Our tooling ecosystem supports automation in annotation and validation, workflow customization, API integration, easy visualization, and cost-effective labeling.
  • Annotation types: Multi-sensor annotations include 2D/ 3D linking, 2D/ 3D bounding boxes, and 3D point cloud segmentation.

MODALITIES WE SUPPORT

2D IMAGES

Bounding boxes, polygons, and segmentation on camera imagery for perception training and evaluation.

2D VIDEO

Frame-by-frame labeling, tracking, and temporal consistency for sequence-based perception models.

3D Point cloud

3D cuboids, polylines, and point-level segmentation on point clouds for depth-aware scene understanding.

RADAR

Radar-aligned labeling support for programs that use radar returns alongside camera and point cloud inputs.

AUDIO

Audio annotation for speech and acoustic events in applications such as in-cabin monitoring, voice interaction, and safety alerts.

THERMAL AND INFRARED

Thermal and IR image labeling for low-light conditions and safety-critical perception scenarios.

CAPABILITIES

Multi-sensor fusion labeling for camera–LiDAR (and radar) datasets, with synchronized annotations across 2D images and 3D point clouds.
3D-SEGMENTATION

3D SEGMENTATION

Point-level segmentation for LiDAR and 3D data to capture road surfaces, boundaries, and scene context for autonomy and robotics.
Object tracking

Object tracking

Track objects across video and sensor sequences with consistent IDs to support motion understanding, behavior prediction, and temporal fusion.

3D Point Cloud

Annotate LiDAR point clouds for 3D perception, including obstacle context and environment structure used in AV and robotics pipelines.

3D Bounding boxes

3D cuboids for vehicles, pedestrians, and obstacles to train and evaluate 3D detection and tracking models.

3D Polygon Annotation

Fine boundary annotation for complex shapes when cuboids are insufficient, improving localization accuracy and training signal quality.
3D POLYLINE ANNOTATION

3D POLYLINE ANNOTATION

Polylines for lanes, curbs, road edges, and boundaries—used in mapping, localization, and planning constraints.

2D Bounding boxes

2D bounding boxes for camera-based detection of vehicles, pedestrians, signage, and road users.
2D Polygon annotation

2D Polygon annotation

Pixel-accurate polygons for precise object boundaries in camera imagery, supporting segmentation and fine-grained perception.

2D polyline annotation

Polylines for lane markings and road edges in images to support lane detection, map layers, and driving-scene understanding.
“iMerit’s incredibly knowledgeable data labelers are part of our team and are the right people for our enrichment efforts.”
– Director of Data Products, Research Institute of Autonomous Driving

3D Multi-sensor Labeling Tool

Case Studies

Leading Autonomous Mobility Company partners with iMerit for LiDAR Annotation to build a 3D Perception System

We partnered with this company to support them with data annotation across 2D images and 3D point clouds. 3D perception systems are highly dependent on data quality for improved performance, and the company was looking at target identification in LiDAR frames with lane marking, road boundaries, traffic lights, and others.

With our human-in-the-loop workflows, data labeling on 3D LiDAR frames for poles, pedestrians, signs, cars, and barriers, was achieved seamlessly and accurately.

Achieving Faster and Accurate

Object Detection for Autonomous Mobility

Rapid Scalability

With a team of 5,500+ on-prem expert data annotators and 10+ delivery centers globally, we deliver large volumes of training data with high quality by combining technology and human-in-the-loop.

All-sensors Support

iMerit’s team has experience with 3D perception systems with all different types of sensors, including LiDAR and RADAR, while supporting multiple camera types.

High-quality

All tasks in our 3D Sensor Fusion workflows, with or without a pre-labeling stage, are manually reviewed by highly-trained expert annotators to maintain a quality confidence level.

Tool Ecosystem

In case of specific requirements, we train our teams to work on the client’s proprietary tools. Alternatively, we have in-house annotation solutions or can work on any other 3rd party annotation tools.

Custom Engineering

iMerit has an engineering team that develops custom tools and plugins for our customers. Some features of custom engineering are version control to customer endpoints, streamlined automatic uploads, and custom API integration.

Security

ISO 27001:2013 certified, SOC 2 compliant, GDPR certified, AICPA SOC certified, and HIPAA compliant. We create instances of our internal tools in specific regions and countries to ensure data security.

Trusted & secure

At iMerit, data security and privacy are built into every workflow. Our platform features strict access controls, granular data partitioning, and encryption for sensitive information, and complies with data privacy regulations and compliance standards. Detailed logging, monitoring, and audit trails ensure complete transparency and traceability, keeping every interaction with your data secure and accountable.

ISO
SOC
GDPR
HIPAA
ISO-9001-2015

Featured

Content

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The Modular Pipeline: Solving Key Challenges in AV Perception

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How 3D Semantic Segmentation Improves Object Boundary Accuracy in Autonomous Systems

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Overcoming Challenges in 3D Sensor Fusion Labeling for Autonomous Vehicles

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GETTING

STARTED!

Make sensor fusion training data reliable at scale. iMerit delivers consistent 2D and 3D annotations across synchronized sensor streams with secure workflows and measurable QA.