SAN MARCOS, Texas, Nov. 14, 2025 /PRNewswire/ -- SmartDrone Corporation will showcase Magellanā¢, its NDAA-compliant survey drone, at the TxDOT Geospatial Conference, November 18-20 at Texas State ...
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How lidar and radar shape driver-assist technology
Driver-assist technology has rapidly evolved over the past decade, significantly enhancing vehicle safety and convenience.
Once a supplement to basic safety systems, LiDAR has evolved into a cornerstone of driverless truck hardware, powering the leap from assisted driving to fully autonomous freight operations.
The final, formatted version of the article will be published soon. Three-dimensional (3D) point cloud data acquired by sensors such as Light Detection and Ranging (LiDAR) are foundational across ...
Point cloud semantic segmentation technology for road scenes plays an important role in the field of autonomous driving. However, accurate semantic segmentation of large-scale and non-uniformly dense ...
Abstract: We present a novel 3D reconstruction-based SLAM (Simultaneous Localization and Mapping) approach for robots that leverage multimodal sensory input data, including a camera and a 2D lidar. By ...
Abstract: Addressing the issue of sleeper interference with ballast calculation, a sleeper segmentation method based on point cloud profile data and point cloud differential images is first proposed.
Intelligent optical sensing systems that integrate wavefront control with adaptive responses are emerging as key enablers for next-generation LiDAR technologies. Scientist in China developed a ...
DJI Zenmuse L3 can map 100 km² daily with 950 m LiDAR, dual 100 MP cameras, 16 returns, PPK, and fast DJI Terra plus Modify ...
Through the use of systematic, results-based exploration programs, the Company aims to assess the Lake Cargellico Project in ...
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