3D Sensor Fusion

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

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Lidar box labeling for autonomous vehicles to identify objects from 3D images.

3D Sensor Fusion, 3D Point Cloud & LiDAR

  • 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.

Services

<span style="color: #000000;">Multi-sensor Fusion</span>

Combining LiDAR and images from multiple angles captured from different sensors, iMerit’s teams help to reduce uncertainty in navigation.

<span style="color: #000000;">PanOptic Segmentation</span>

Coupling instance and semantic segmentation, iMerit enrichment teams identify the pixels in images as belonging to a class and identify what instances of that class they belong to.

<span style="color: #000000;">3D Point Cloud</span>

iMerit teams label images and videos in 360 degree visibility, captured by multi-sensor cameras, in order to build accurate, high-quality, ground truth datasets to power autonomous driving algorithms.

<span style="color: #000000;">Bounding boxes</span>

iMerit Computer Vision experts use rectangular box annotation to illustrate objects and train data, enabling algorithms to identify and localize objects during ML processes.

<span style="color: #000000;">Polygon Annotation</span>

Expert annotators plot points on each vertex of the target object. Polygon annotation allows all of the object’s exact edges to be annotated, regardless of shape.

<span style="color: #000000;">Semantic Segmentation</span>

Images are segmented into component parts, by the iMerit team, and then annotated. iMerit Computer Vision experts detect desired objects within images at the pixel level.

<span style="color: #000000;">Object tracking</span>

iMerit teams detect instances of semantic objects of a certain class in digital images and videos, use cases could include face detection and pedestrian detection.

3D Point Cloud tool

Case Study

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.

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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.

"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

podcast

The Autonomous Vehicle Podcast with Gurtej Gill Hosts iMerit CEO Radha Basu

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post

Case Study: LiDAR Annotation for 3D Perception System for a Leading Autonomous Vehicle Company

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A Deep Dive into Video Annotation for Autonomous Mobility

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Combination of LiDAR and images to capture different angles and sensors for autonomous navigation

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