Autonomous Vehicles | Industry data solutions

Tailored Service for Autonomous Vehicles

Nexdata provides image and speech data collection of in-cabin and autonomous driving scenarios. Our platform supports various data types labeling such as points, lines, bounding boxes, polygon, etc., to assist autonomous vehicles better perception in complex and diverse real-world environments.

Multi-sensor Fusion

Support data collection requirements of multi-sensor, different time periods and different weather and time sync and spatial calibration.

Point Cloud Semantic Segmentation

Point cloud semantic segmentation, instance segmentation, panoptic segmentation.

4D LiDAR Semantic Segmentation

Categorizes complex environmental data from various sensors. Enables precise identification and understanding of surroundings.

4D BEV Lane Annotation

Offers dynamic, four-dimensional insights into lane markings, improving accuracy and adaptability for autonomous driving systems.

Point Cloud Object Detection

Supports 3D or 2D-3D fusion object detection for various types of objects.

Point Cloud Object Tracking

Supports 3D or 2D-3D fusion object tracking for various types of objects.

SLAM Annotation

Provides trajectory, pose, and landmark annotations to support simultaneous localization and mapping (SLAM) for autonomous driving and robotics.

OCR / HMI Interface Recognition

Provides OCR and interface recognition data for in-vehicle HMIs, supporting text, icon, and multi-language UI understanding.

VLM / VLA

Delivers multimodal datasets linking vision, language, and actions to enhance navigation, Q&A, and task execution in autonomous driving.

In-cabin Voice Assistant

Support various types of speech data collection and annotation, such wake-up words, command words and noise.

DMS/OMS

Support data collection/labeling for in-cabin visual perception, such as drivers' head orientation, facial expression, gaze tracking and gesture detection.

Data Annotation Tools

Our platform embedded with 30 annotation templates that support automatic object resizing,
grounding, detection, rotation, casting and more.

Automate Object Resizing

For the parts of the picture that cannot be illuminated by lidar, a 3D frame of the default size is quickly generated according to the default size of the target object, ensuring that the rules of brain augmentation are consistent.

Compliance & Security

Nexdata place the utmost emphasis on data security and client trust. We follows Personal Information Protection Act, GDPR, CCPA, PIPC and HIPAA regulations. we have also achieved ISO 27001,ISO 27701 and ISO 9001 qualifications for security and regulatory compliance. Nexdata delivers unparalleled data security, earning the trust of our clients through our adherence to these globally recognized standards.

Deploy reliable AI faster with Nexdata

Nexdata helps you to gain unparalleled control of your annotation workflow through pipeline. Speed up your AI projects 5x today.

Send exploratory or potentially harmful cases back to be labeled

Case Studies

USE CASE: Multi-sensor Fusion Labeling for Autonomous Vehicle.
CHALLENGE:Client needs to label a large amount of road data.
SOLUTION:Nexdata annotates the objects in 2D images such as obstacles, lane lines, drivable areas and traffic signs with bounding boxes and segment, and performs single frames, tracking and segmentation, 2D-3D fusion labeling for 3D point cloud data. The accuracy exceeds the customer's requirements, assisting client rapidly improve the self-driving technology and promote mass production.

USE CASE:Dangerous Driving Behavior Recognition.
CHALLENGE:Client wants to improve the current driver monitor system.
SOLUTION:Nexdata help client collect a series of dangerous driving behavior data, such as sleeping, smoking, talking, eating, drinking and etc., while fully guaranteeing the safety of implementation. Camera angles, position, vehicle type and collection personnel ratio are fully considered in the collection process.