Obstacle awareness
Capture object distance and scene geometry so the host system can evaluate collision risk and choose a response.
Review the path ›Application & Integration Hub
Drone LiDAR Solutions for UAV, Robotics and Embedded Systems
Drone LiDAR Solutions should start with the sensing task—not a generic technology list. Use this hub to match MRP-LD1 depth output to UAV obstacle awareness, robotics mapping, industrial inspection or embedded perception, then plan the host, interface and validation work around verified product data.
- 8 gModule weight
- 1.2 WTypical power
- 60° × 45°Field of view
- 40 × 30 · 10 fpsDepth output
Start with the perception task
Choose the depth-sensing job before choosing the integration path.
A solution page should answer what the sensor must observe, what data the host receives and what the wider system must still decide. These five tasks define the most practical starting points for MRP-LD1 evaluation.
Altitude & terrain support
Provide ranging input for altitude-hold and terrain-following concepts within the outdoor test envelope.
Review the path ›Navigation & mapping input
Deliver depth and point-cloud information for robot perception, route awareness and mapping development.
Review the path ›Distance & profile inspection
Measure controlled targets where stand-off distance, object profile or presence information supports inspection logic.
Review the path ›Zone & presence sensing
Evaluate 3D scene changes for security, smart equipment and host-controlled embedded perception workflows.
Review the path ›Application paths
Match each platform to a focused Drone LiDAR solution.
Compare UAV LiDAR applications, robotics LiDAR solutions and industrial depth sensing workflows. The same dToF module can support each path, but the mounting, target set, timing budget and host-side software must be planned for the actual platform.
Sense, process and act
Separate the LiDAR module from the complete control system.
MRP-LD1 measures depth; it does not independently navigate a drone, steer a robot or stop a machine. A dependable solution assigns each responsibility to the correct layer and validates the handoff between them.
Sense
MRP-LD1 emits 940 nm light and measures direct time of flight to produce depth information.
Transfer
UART, UVC or UDP carries the selected data stream to the PC, embedded host or development platform.
Interpret
Host-side software filters data, applies thresholds and combines it with application logic or other sensors.
Act
The flight controller, robot controller or machine logic decides and executes the system response.
MRP-LD1 platform
Translate verified specifications into dToF LiDAR integration decisions.
MRP-LD1 is a compact solid-state dToF sensing module for UAV, robotics and embedded 3D perception evaluation. It is not a complete drone, navigation stack, flight controller or autonomous decision system.
Range
0.5–25 m indoor and 0.2–8 m outdoor listed ranging baselines; test target reflectivity and scene conditions.
Coverage
60° horizontal × 45° vertical field of view for a defined sensing sector, not full 360-degree coverage.
Depth output
40 × 30 depth output at 10 fps for early perception, thresholding and point-cloud evaluation.
Integration profile
8 g module weight, 1.2 W typical power and UART/UVC/UDP interfaces for compact host platforms.
Application validation
Test the conditions that determine whether the solution works.
Catalog specifications are the baseline, not the acceptance test. A useful evaluation reproduces the target material, distance, lighting, speed, mounting and host-processing conditions that define success or failure.
Scene geometry
Define the smallest relevant target, approach angle, background and required sensing sector.
Range & reflectivity
Test dark, bright, small and angled targets across the actual working-distance window.
Ambient light
Use the listed 80 Klux resistance and outdoor range only as baselines; validate direct sunlight and glare in the target scene.
Motion & timing
Relate 10 fps sensor output to platform speed, host latency, decision time and braking or maneuver margin.
Mounting & blind zones
Check enclosure edges, landing gear, vibration, contamination and multi-direction coverage gaps.
Host & data path
Confirm interface bandwidth, SDK environment, coordinate handling, logging and failure-state behavior.
Evaluation workflow
Move from application requirement to controlled system evidence.
This five-stage path keeps the technical review, sample request and purchasing conversation tied to the same measurable requirements.
- 01
Define requirements
Record the platform, scene, target size, range, light level, speed, interface and acceptance criteria.
- 02
Review product fit
Compare verified specifications with payload, power, field-of-view and host-processing limits.
- 03
Inspect data & documents
Review the user manual, SDK path and representative depth or point-cloud output before integration.
- 04
Bench and system test
Validate static targets first, then repeat with realistic motion, lighting, mounting and controlled failure cases.
- 05
Pilot and scale
Share test findings, configuration needs, sample quantity and project timing before pilot or volume planning.
Purpleriver evaluation support
Bring engineering evidence into the buying process.
Technical selection is easier when the product specification, host interface, sample data and commercial request describe the same application. Purpleriver supports that handoff with documented resources and project-specific communication.
Product documentation
Use the manual, specification preview and interface notes to define electrical, mechanical and software work.
SDK & platform review
Plan evaluation around Windows, ARM, Linux or Android support documented for the module.
Sample data request
Request depth or point-cloud material that is closer to the target scene instead of relying on generic visuals.
Engineering & commercial handoff
Share the application, host, interface, quantity and timing so technical and purchasing questions stay aligned.
Solution FAQ
Questions to resolve before requesting a sample.
Use these answers to define the system boundary and prepare a more useful technical inquiry.
View the complete dToF LiDAR FAQIs MRP-LD1 a complete obstacle-avoidance system?
No. MRP-LD1 supplies depth information. The host processor, perception logic, decision layer and flight or robot controller remain responsible for interpreting the data and commanding the response.
What ranging baseline should an evaluation use?
The documented baselines are 0.5–25 m indoors and 0.2–8 m outdoors. Actual usable range depends on target reflectivity, size, angle, ambient light, mounting and motion, so the target scene must be tested.
Does one module provide omnidirectional coverage?
No. The listed field of view is 60° horizontal by 45° vertical. Forward, downward, rear or multi-direction sensing requires deliberate module placement and blind-zone validation.
What data and interfaces are available?
The module provides depth images and 3D point-cloud data. Documented interfaces are UART, UVC and UDP, with software support listed for Windows, ARM, Linux and Android.
How should bright outdoor conditions be tested?
Use the 80 Klux ambient-light resistance and 0.2–8 m outdoor range as starting references, then test actual sunlight direction, target material, background, enclosure and platform motion.
What should I include in a solution inquiry?
Include the platform type, sensing task, target size and material, working distance, lighting, speed, mounting direction, host platform, preferred interface, expected quantity and project timing.
Technical resources
Continue with the file or page that matches your next decision.
ProductReview MRP-LD1 video, complete specifications and approved application details.View product ›
DocumentationRequest the user manual, SDK package and interface material for integration planning.Open documentation ›
Sample dataDescribe your scene and request depth or point-cloud data for application review.Prepare data request ›
FAQCheck product, integration, application and purchasing questions before inquiry.Read technical FAQ ›
Project-specific review
Turn your sensing task into a practical evaluation plan.
Share the platform, target, range, lighting, motion, host and interface. We will use those details to align the product, documentation, sample data and next technical discussion.