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MRP-LD1 User Manual EN
English product and operating reference for technical evaluation and setup planning.
MRP-LD1 Technical Resources
Drone LiDAR Resources
Access MRP-LD1 manuals, SDK information, point-cloud sample requests and dToF LiDAR FAQs for UAV and embedded integration evaluation.
- Manual
- SDK
- Specifications
- Sample data
- FAQ
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Find the material for the next engineering decision.
Start with product documentation, request representative data for validation or review common technical and commercial questions.
Documentation
Manual, SDK and public specifications
Review the MRP-LD1 user manual, public product specifications and SDK access path before integration.
Manual · SDK · Specs ›
Sample Data
Depth and point-cloud evaluation data
Request representative depth or point-cloud material matched to the intended scene, range and host workflow.
Scene-matched request ›
Technical FAQ
Product, integration and buying answers
Check product limits, evaluation planning, technical support and commercial questions before contacting the team.
Product · Integration · Buying ›Available technical materials
Know what is public and what requires a project request.
The public specification can be reviewed immediately. The user manual and SDK package use the shared inquiry flow, while sample data is matched to the intended scene and validation goal.
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Mini dToF SDK Package
Development package for host-side evaluation after the application and platform are identified.
WEB
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Public Specifications
Review documented range, field of view, depth output, frame rate, weight and power.
REQUEST
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Depth / Point-cloud Samples
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Evaluation baseline
Start with the documented MRP-LD1 operating envelope.
Use these public values for initial screening, then confirm the host interface, protocol and SDK path before hardware integration.
Indoor range0.5–25 m
Outdoor range0.2–8 m
Field of view60° × 45°
Depth output40 × 30
Frame rate10 fps
Module load8 g · 1.2 W
Evaluation path
Move from screening to a qualified project request.
01
Shortlist
Compare range, field of view, output, weight and power with the platform requirements.
Review specifications › 02Integrate
Identify the host, software environment and interface requirements before requesting development files.
Open documentation › 03Validate
Request representative depth or point-cloud material for the intended scene and evaluation goal.
Request sample data › 04Procure
Share application, quantity, project stage and timing for a sample or quotation discussion.
Send requirements ›Technical reading
Continue with application, integration and data guides.
Drone Obstacle Avoidance
Downward Sensing: Validate the Ground-Reference Handoff Before Low-Altitude UAV Flight
A practical downward sensing validation guide for UAV teams: prove the installed view, representative ground evidence, host data contract, and tested handoff before treating a compact depth module as a low-altitude input.
· 11 min read
Read article
Integration & SDK
LiDAR SDK Windows Linux Android ARM: Build a Portability Evidence Pack Before Your Field Pilot
Build a repeatable evidence pack for LiDAR SDK Windows Linux Android ARM evaluation before an embedded or field-pilot handoff.
· 13 min read
Read article
Data & Point Cloud
Point Cloud Processing Tutorials: A dToF Depth-to-Cloud Evaluation Workflow
A practical, repeatable workflow for turning compact dToF depth output into an inspectable point cloud before labeling, model work, or an application pilot.
· 11 min read
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Matched technical package
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