Use cases

LiDAR use cases

7 items

Discover the main LiDAR use cases: mobile robotics, mapping, security, smart city, drones, agriculture and industrial.

Präzisionslandwirtschaft

Feldkartierung, Biomasseabschätzung, Führung automatisierter Landmaschinen und gezielte Sprühapplikation.

In precision agriculture, LiDAR measures crop and terrain structure to estimate canopy height, biomass, volume and distance to crop rows. It also supports autonomous machinery navigation and site-specific spraying or harvesting. The sensor must maintain usable measurements despite dust, moisture, vibration and variations in vegetation reflectivity.

Beständigkeit gegen staubige und feuchte Umgebungen.
Reichweite angepasst an landwirtschaftliche Arbeitsdistanzen (10–150 m).
Geringes Gewicht für Montage an Drohne oder Leichtfahrzeug.

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Drohnen & Luftinspektion

Kompakte Nutzlasten für Inspektion, Präzisionslandwirtschaft und topografische Vermessung.

Mounted on a drone, LiDAR surveys terrain and infrastructure from multiple angles to generate 3D models, even beneath partially penetrable vegetation. The payload must balance weight, power draw, range and measurement rate against flight speed and altitude. Accurate synchronization with GNSS and IMU data is essential for surveying, infrastructure inspection and forestry monitoring.

Geringes Gewicht und kontrollierter Stromverbrauch.
Ausreichende Reichweite trotz Geschwindigkeit und Höhe.
GNSS/IMU-Integration und klarer Nachbearbeitungs-Workflow.

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LiDAR couleur natif pour la perception IA

Ouster Rev8 native color LiDAR fuses color and depth data in silicon for ultra-low latency 3D color perception. Replaces separate camera + LiDAR systems in robotics and autonomous vehicles.

Native-color LiDAR associates synchronized color information with each 3D point, giving perception models a shared geometric and semantic representation. Performing this fusion upstream can simplify cross-sensor calibration and reduce latency compared with separate LiDAR and camera pipelines. It supports segmentation, object classification and scene understanding, provided radiometric quality, lighting and data throughput are properly managed.

Capteur couleur + profondeur simultané, fusion native, faible latence

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Autonome Roboter

Navigation, Hindernisvermeidung und 3D-Wahrnehmung für AMR, UGV und Industrieroboter.

On an AMR, AGV or UGV, LiDAR delivers a metric point cloud for SLAM localization, map building and real-time obstacle detection. Sensor selection depends on field of view, usable range, angular resolution and latency, as well as integration with ROS or ROS 2. Outdoors, resilience to sunlight, dust and vibration is equally critical.

Großes Sichtfeld und geringe Latenz.
Stabiles SDK, ROS-Unterstützung und Multi-Sensor-Synchronisation.
Mechanische Robustheit gegen Vibrationen und Staub.

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Intelligente Infrastruktur

Zählung, Klassifizierung und Bereichsüberwachung ohne direkte visuelle Identifikation.

Installed at an intersection, along a roadway or inside a building, LiDAR tracks pedestrians, cyclists and vehicles in 3D without relying on ambient light. The resulting data supports multimodal counting, flow analysis, signal optimization and event detection while limiting the capture of identifying information. Continuous operation requires weather protection, effective occlusion handling and reliable multi-target processing.

Feste Installation, hohe IP-Schutzart und weiter Temperaturbereich.
Echtzeit-Randverarbeitung oder zuverlässige Netzwerkdatenströme.
Datenschutzmodelle kompatibel mit öffentlichen Bereichen.

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Kartierung & Mobile Mapping

Punktwolkenerfassung, SLAM, Infrastrukturinspektion und digitale Zwillinge.

Mapping LiDAR rapidly captures the 3D geometry of buildings, roads, tunnels and industrial sites, including areas with little visual texture. In mobile mapping, measurements are synchronized with an IMU and, where signals are available, GNSS to produce georeferenced point clouds. Final accuracy depends on sensor range and precision, but also on calibration, trajectory estimation and SLAM processing.

Hohe Reichweite und wiederholbare Genauigkeit.
Präzise Zeitstempelung mit GNSS/INS.
Punktdichte angepasst an die Fahrzeuggeschwindigkeit.

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Sicherheit & Eindringlingserkennung

Perimeterüberwachung, Eindringlingserkennung, Personenzählung und Zugangskontrolle ohne visuelle Identifikation.

LiDAR protects a perimeter by detecting an object's position, size and trajectory by day or night, without producing a photographic image. 3D classification helps distinguish people and vehicles from animals or vegetation, reducing false alarms. Coverage, blind spots, weather conditions and interfaces with CCTV or alarm systems must be considered from the design stage.

24/7-Erkennung unabhängig von Lichtverhältnissen.
Niedrige Falschalarmrate (Regen, Staub, Tiere).
Integration mit Videoüberwachungs- und Alarmsystemen.

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