Drone LiDAR sitemap pages are being expanded with product-led technical content.
Explore the modulePurpleriver engineering library
Practical Drone LiDAR guides for obstacle avoidance, solid-state dToF module selection, integration, point-cloud data and UAV engineering evaluation.
Browse by task
Sensing, coverage, sunlight, brake-margin and system-validation guides for UAV teams.
18 guides › Selection & Buying LiDAR Selection & BuyingSelection criteria, pricing questions and comparison content for B2B buyers.
26 guides › Applications LiDAR ApplicationsDrone obstacle avoidance, robotics mapping, industrial inspection and embedded vision.
21 guides › Data & Point Cloud Data & Point CloudDepth data, point cloud visualization, sample datasets and evaluation workflows.
7 guides › Integration Integration & SDK TutorialsType-C evaluation, UART communication, embedded platforms and practical sensor integration workflows.
10 guides ›
Editor’s pick
A practical first-bench resource pack for UAV teams: define the data handoff, capture a meaningful sample, record the scene, and separate sensing from flight decisions.
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Data & Point Cloud
Use this LiDAR point cloud dataset acceptance checklist to verify provenance, frames, replayability, and product-data handoffs before host-side evaluation.
LiDAR Selection & Buying
Evaluate a dToF LiDAR module for a UAV with a field-of-view fit test, evidence plan, and published MRP-LD1 specifications to verify.
Drone Obstacle Avoidance
A practical UAV review for turning an all-around sensing claim into sector ownership, test evidence, and a clear integration decision.
Integration & SDK
A practical OEM LiDAR supplier checklist for turning a compact dToF sample into a repeatable host-side data, interface, and measurement review.
LiDAR Applications
A practical evidence plan for evaluating an AR/VR 3D depth sensor in a defined auxiliary-focus scene—without turning product facts into unsupported platform claims.
LiDAR Selection & Buying
A deployment-fit scorecard for comparing solid-state and mechanical LiDAR using coverage, data-handoff, and test evidence before an evaluation sample.
Continue by engineering task
Connect sensing coverage, environment and host logic to a UAV validation plan.
Open sensing guide › 02Integrate the modulePrepare the host, interface and development resources needed for evaluation.
Open documentation › 03Validate depth dataRequest point-cloud and depth data matched to the intended application scene.
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