INNOVATION
Trimble announces new deployment of Applanix’s POS LV
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rimble has announced the first deployment of its map-based localization system for land-based autonomous vehicle applications. IHI Corporation, a heavy industry manufacturer based in Japan, will retrofit its existing container and haulage trucks with a customized Applanix POS LV system as part of its broader autonomy capabilities for the transport of goods around industrial facilities.
variety of challenging environments. Using this system, IHI Corporation can provide robust positioning for their autonomous fleet without additional site infrastructure, lowering capital expenditure (CAPEX) costs and improving scalability.
Map-based localization provides precise positioning and orientation estimation, augmenting GNSS/inertial data, which is critical for safe and efficient autonomous vehicle operations. The ability to provide IHI Corporation a full workflow and real-time data ensures seamless integration into IHI’s truck design.
Tailoring POS LV to work within IHI’s unique specifications and existing autonomous platform, the map-based localization system couples an inertial navigation system (INS) with simultaneous localization and mappingbased (SLAM) capabilities, and works with several types of sensors, including LiDAR for IHI. POS LV provides an accurate base map using post-processed data and localizes vehicle positioning in real-time, enabling the reliable and safe autonomous operation of industrial vehicles.
The custom-built, locally supported system leverages Trimble’s innovative engineering capabilities and technology to provide reliable performance across a
IHI continually enhances its work environments, while also compensating for varying labor scenarios and personnel shortages. This makes the need to automate
transportation critical to operations. The complexities of the evolving industrial manufacturing environment require solutions that can be tailored to a customer’s specific application requirements. By partnering with Trimble, IHI can develop a retrofit system that addresses two major challenges— affordability and consistent reliability—within the autonomous operation of large-scale industrial equipment. Customers such as IHI rely on Trimble to create autonomous solutions that enable them to meet their strategic goals no matter where they are on their journey to autonomy.
Emlid released the PPK app—Emlid Studio for Mac and Windows
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mlid announced new PPK software— Emlid Studio. It’s a cross-platform desktop application designed specifically for post-processing GNSS data. The app is free and available for Windows and Mac users. Emlid Studio features a simple interface that makes post-processing easier than ever. The app allows users to convert raw GNSS logs into RINEX, post-process static and kinematic data, geotag images from drones, including DJI, and extract points from the survey projects completed with the ReachView 3 app. With Emlid Studio, you can post-process data recorded with Emlid Reach receivers and other GNSS receivers or NTRIP services. For post-processing, you will need RINEX observation and navigation files. You can also use raw data in the UBX and RTCM3 format— Emlid Studio will automatically convert them into RINEX. The post-processing workflow is very straightforward. You can receive precise 10
May-June issue l 2022
positioning of a single point or track depending on your positioning mode. Just add several RINEX files and enter the antenna height. Click the Process button, and Emlid Studio will do the rest. Once the resulting position file is ready, you will see the result on the plot. One more tool is available for the users of Reach receivers and the ReachView 3 app. The Stop & Go feature allows you to improve the coordinates of points collected in Single or Float modes.
Another helpful feature is geotagging for drone mapping. To add geotags to the images’ EXIF data, you’ll need aerial photos and the POS file with the events. Emlid Studio also provides a chance to update your data from the RTK drone in case you had a float or single solution during your survey. You will need a set of RINEX logs from a base and drone, MRK file, and images from the drone. Just drag and drop data in the file slots and you’ll see the result in a few seconds.
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