Category: Autonomous Vehicles
Autonomous vehicle perception, mobile mapping, and sensor fusion technologies advancing autonomy across transportation, robotics, and intelligent mobility.
The maritime industry recently witnessed a historic milestone with the…
IM Motors Automotive Vision with 3D Lidar The IM Motors…
Advances In LiDAR And Radar Accelerate Driving Autonomy – Forbes…
Volkswagen autonomous shuttles are moving closer to real-world deployment thanks…
Mark Rober, a former NASA engineer and renowned science communicator,…
Mercedes-Benz Partners with Hesai Lidar Hesai Technology, a Shanghai-based leader…
Big Machine Autonomy: A Growing Industry Big machine autonomy is…
Developments in LiDAR for autonomy accelerated a decade ago as…
Anders Svensson appointed as new President and CEO of Hexagon…
Neural Radiance Fields (NeRF) and related techniques play a transformative…
At CES 2025, Aurora, Continental, and NVIDIA unveiled what they’re…
GM discontinues Cruise robotaxi business marking a major pivot in…
In the not too distant future, fully-autonomous vehicles are expected…
Ubiquitous adoption of lidar in self driving cars needs one…
Discover how adaptive-computing technology is extending the capabilities of LiDAR…
The race to dominate the autonomous vehicle market has intensified…
Here’s a detailed look at how one vendor is using…
Sitting in the cab of the largest vehicle rolling down…
Popular Posts
River corridors are among the most challenging environments to survey because no single technology can capture every feature above and below the waterline. This project demonstrates how integrating airborne lidar, mobile mapping, UAV lidar, and multibeam bathymetry can produce a seamless digital terrain model for engineering, navigation, flood analysis, and long-term river management. Redefining River…
A University of Florida research team spent two weeks in June and July 2026 collecting paired field measurements and ground-based lidar data across recently burned landscapes and a range of forest conditions in Fish Lake National Forest, Utah, and North Kaibab National Forest, Arizona. The campaign combined terrestrial and mobile laser scanning with conventional stand…
Point cloud to TIN workflows are essential for transforming lidar data into terrain models used in surveying and civil engineering. Mach9’s latest release brings surface generation, editing, quality assurance, and LandXML export into a single workflow, reducing software handoffs and helping teams move more efficiently from point cloud to engineering-ready deliverables. Surveyors and engineers routinely…
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