SAN FRANCISCO--(BUSINESS WIRE)--Ouster, Inc. (NYSE: OUST) (“Ouster” or the “Company”) announced today the introduction of the most powerful lidar system on chip (SoC) it has ever created, the L2X. The ...

GeoCue, a leading provider of high accuracy drone LiDAR mapping sensors and geospatial processing software, is pleased to welcome Duncan-Parnell to the GeoCue Global Distribution Network, expanding ...

Abstract: Lidar has been employed for a variety of remote sensing applications including situational awareness for vehicles, 3D surveying and mapping, and planetary measurement and monitoring. Such ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW) today announced a new software development kit which allows customers to utilize the advanced capabilities of Velodyne’s ...

Outsight, the winner of the 2022 LIDAR Leader Award, takes the lead in bringing LiDAR to the entire geospatial market PARIS & DENVER, Colo.–(BUSINESS WIRE)–February 7, 2022– Outsight has received the ...

WEST LAFAYETTE, Ind. — Companies that manufacture autonomous vehicles, industrial robotics, delivery robots and drones may benefit from a patent-pending Purdue University innovation that outperforms ...

The Edge Compute Brumby LiDAR is making waves in MLS, airborne geophysics and powerline scanning with its accuracy and minimal workflow. The data from the device is processed into an accurately ...

However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early ...

Riga, Latvia – June, 2022 – SPH Engineering and GreenValley International partner combining their expertise to deliver drone software technologies for LiDAR data collection and processing. The ...

The DSP IP cores continue to provide more flexible compute options while allowing system-on-chip (SoC) designers to tailor the instruction set, add data types, and implement tightly-integrated ...

If the near-term predictions of autonomous driving for both passenger cars and commercial vehicles are to be realized, it will require software, hardware systems and technologies stacked in layers and ...