[{"heading":{"fr":"Le multiScan165 rejoint le driver unifié","en":"multiScan165 Joins the Unified Driver"},"body":[{"fr":"La version 3.9.0 de sick_scan_xd ajoute le multiScan165 à la famille de capteurs pilotables avec le même paquet. L'objectif reste de mutualiser la réception, la configuration et la publication des nuages de points SICK.","en":"Version 3.9.0 of sick_scan_xd adds multiScan165 to the sensor family managed by the same package. The goal remains to share reception, configuration and point-cloud publishing across SICK devices."}]},{"heading":{"fr":"ROS 2, ROS 1 et API natives","en":"ROS 2, ROS 1 and Native APIs"},"body":[{"fr":"Le projet fournit des intégrations Linux et Windows, des nœuds ROS 1/ROS 2 ainsi que des API C/C++ et Python. Cette couverture simplifie le prototypage sur ROS 2 puis le déploiement dans une application native.","en":"The project provides Linux and Windows integrations, ROS 1/ROS 2 nodes, and C/C++ and Python APIs. This coverage eases prototyping in ROS 2 followed by deployment in a native application."}]},{"heading":{"fr":"Points à vérifier avant la mise à jour","en":"Checks Before Updating"},"body":[{"fr":"Avant de migrer, les intégrateurs doivent relire les notes de version, figer la configuration réseau et tester les topics, repères TF, horodatages et fréquences sur un enregistrement représentatif. Une validation de non-régression reste indispensable pour le SLAM et l'évitement d'obstacles.","en":"Before migrating, integrators should review the release notes, freeze network settings and test topics, TF frames, timestamps and rates against a representative recording. Regression testing remains essential for SLAM and obstacle avoidance."}]}]
sick_scan_xd v3.9.0 ajoute la prise en charge du SICK multiScan165
La version 3.9.0 du driver SICK étend la compatibilité au multiScan165 pour les intégrations natives, ROS 1 et ROS 2.
💻
Need help integrating this software solution?
We can advise you on the software, SDKs and tools best suited to your project.
Talk to an expert →Mentioned in this article
Browse the detailed pages for each mentioned entity.
Software & SDK
Livox SDK
OpenLivox / DJI
Multi-language SDK for Livox LiDARs (MID, HAP, Avia) with ROS2 support.
ROS2 Perception Pipeline
OpenOpen Robotics
ROS2 perception stack (vision, LiDAR, fusion) for mobile robots and vehicles.
NVIDIA Isaac Sim
NVIDIA
NVIDIA robotics simulator with physically accurate LiDAR sensor rendering for testing and validation.
Ouster SDK
OpenOuster / Hesai
Official Ouster SDK for OS and REV LiDAR integration in C++ and Python.
Autoware
OpenThe Autoware Foundation
Open-source autonomous driving framework: perception, localization, planning and control.
Hesai SDK
OpenHesai Technology
Official SDK and ROS2 drivers for Hesai LiDARs (AT, Pandar, QT, FT).
RViz2
OpenOpen Robotics
The official ROS2 3D visualizer for LiDAR point clouds and other robotic data.
ROS2 Navigation (Nav2)
OpenOpen Robotics
ROS2 navigation framework for mobile robots: planning, control and LiDAR SLAM.