In-Cabin Data Collection & Annotation Capabilities

Nexdata provide robust in-cabin multimodal data solutions for speech and vision, designed to capture real-world driving interactions and power next-generation in-vehicle AI systems.

Speech Data
Capabilities

In-cabin speech data collection and annotation
Natural dialogue recording in driving environments
Audio–video synchronized speech data capture
Human–machine interaction (HMI) speech data annotation

Vision Data
Capabilities

Multi-camera synchronized recording
Data acquisition under diverse lighting conditions
Multi-device time-aligned recording
Driver RGB and infrared video collection and annotation
Occupant behavior data annotation
Child and adult occupant data annotation

Exterior Perception Annotation Capability

Nexdata delivers scalable multi-modal data collection and annotation services supporting L2 to L4+ autonomous driving systems.

L4+ / End-to-End – Vision-Language-Action (VLA)

Vision–language–action triplet annotation
Scene-level understanding labeling
Decision logic annotation
End-to-end data closed-loop support

L3 / L4 – 4D Spatiotemporal Understanding

4D point cloud segmentation
4D fused lane line labeling
Temporal consistency enforcement
Multi-frame fusion annotation
SLAM (trajectory & mapping annotation)

L2 / L2+ – Perception-Level Annotation

3D point cloud object detection
Object tracking
Point cloud segmentation
2D-3D fusion annotation
HD Mapping

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.

Case Studies

4D Lane Line Annotation with Point Cloud Fusion

USE CASE:4D Lane Line Annotation with Point Cloud Fusion
CHALLENGE:Annotating large-scale driving scenes with complex lane types and multi-frame point cloud data (100+ frames at 10Hz), while ensuring accurate object relationships and handling frequent occlusion changes across frames.
SOLUTION:Performed non-snap 4D lane line annotation using fused point cloud and image data across 100+ frame sequences. Annotated lane lines, traffic signs, road markings, and traffic lights, including attributes such as visibility, traffic light color, and lane line types, while establishing cross-object relationships to support high-precision autonomous driving perception and planning models.

Driving Intent & Planning Multi-Turn QA Annotation

USE CASE:Driving Intent & Planning Multi-Turn QA Annotation
CHALLENGE:Validating 40 Q&A pairs per driving scene while identifying incorrect or illogical questions, requiring annotators with driving experience to assess planning intent from the driver’s perspective.
SOLUTION:Deployed trained annotators with driving knowledge to review and correct multi-turn Q&A pairs for each driving image, infer ego-vehicle intent from top-down scene analysis, and deliver high-quality annotations to support driving intent reasoning and planning model training.

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.

Why Nexadata