Automation is paving the future for mobility, infrastructure, robotics, logistics and manufacturing at a rapid pace. At the forefront of the automation evolution is laser imaging, detection and ranging (LiDAR) sensors. The use of LiDAR is a method for measuring distances using laser based sensors. Differences in laser return times and wavelengths enable digital 3-D representations of the world around the sensor. The use of LiDAR technology is influencing technology decisions of companies, smart cities and governments, due to the breadth and accuracy of information it provides.Read more
Metrolla is the first company specifically focused on mobile high-volume near real-time LiDAR data offload. The challenge is current sensor technology that generates gigabytes of data per second. In order to stream data remotely in near real-time using current communication (4G) technology, Metrolla has created a way to access the ROS system with specific optimization and compression routines.Read more
Seattle, Washington (November 5th, 2020) -- Metrolla and Velodyne Lidar, Inc. (Nasdaq:VLDR) officially announced Metrolla’s participation in the
Automated with Velodyne Partner Program.Read more
With multiple SPAC IPO's and a drop in price enabling mass adoption: Light Detection and Ranging Technologies, or LiDAR, are favored by industries pursuing automation. Lidar gives devices like cars, robots, and drones "eyes'' with sensors used to enable computer vision.Read more
The past week on LiDAR 101, we had the honor of welcoming Tom Grey, Product Marketing Manager at Ouster, to the "Clubhouse stage" to add to the conversation. The appearance comes at an exciting time for Ouster, who recently joined mobility tech's SPAC craze - and officially began trading on the Nasdaq under the ticker (OUST) on Friday, March 12th, 2021.Read more
While underground infrastructure poses a national threat, the threat is particularly huge for New York City. Construction crews face the prospect of rupturing gas lines, hitting water mains, or shorting a generator. This challenge is exacerbated by events like hurricanes or flash floods, such as the many citizens and two hospitals left without power from Hurricane Sandy.
Looking at the New York City Lidar scan from 2017, LiDAR data is used in a variety of ways to continuously improve the city and mitigate environmental and construction threats, saving money and avoiding safety liabilities in the process. Derived datasets can be used to analyze coastal storm and sea-level rise inundation, flood risk assessment and mitigation, and green infrastructure and tree canopy planning.Read more
(SEATTLE, September 17th, 2021) Metrolla, a leading provider of edge data and edge computing solutions, has joined the Batch #4 5G Open Innovation Lab (5GOIL). The lab is an innovation ecosystem that provides startups at all stages with unparalleled access to open platforms and markets needed to create new use cases for next-generation technologies. Metrolla facilitates automation from machine learning with an edge deployment system for smart sensor ecosystems.
Vision Zero is a global initiative that aims to eliminate traffic fatalities and serious injuries on our roads. As cities and municipalities around the world work towards this goal, the use of machine learning with traffic cameras can play a key role in helping to reduce the number of crashes and incidents on our roads.Read more
If you're a city planner or engineer looking for ways to improve traffic management, enhance safety, and optimize your city's infrastructure, LiDAR technology may be the solution you've been seeking. In this article, we'll explore the top five benefits of using LiDAR in smart city applications.
C-V2X, or cellular vehicle-to-everything, is an advanced technology that allows vehicles to communicate with other vehicles, infrastructure, and pedestrians in real-time. This technology is being embraced by T-Mobile, city managers, as well as cloud service providers like AWS and Google Cloud as a way to improve transportation safety, reduce congestion, and increase efficiency. In this blog post, we will discuss the benefits of using C-V2X data from observability sensors, such as cameras, and how it could benefit T-Mobile, city managers, and cloud service providers like AWS and Google Cloud.