But what’s fascinating is that we are still just beginning to achieve LiDAR’s potential for information gathering and usage. One emerging market that Michael Baker is focusing on is in enabling autonomous vehicles while building safer, smarter, real-time information systems within our transportation networks. The impact and applications for this type of ubiquitous, low-cost form of mass-produced LiDAR technology associated with automotive, rail, airborne, marine and other vehicles can change the way the world moves people and things.
|What you see is what you get (WYSIWYG) with Mobile LiDAR. Completely immersive scenes are generated along transportation corridors for an array of applications.|
|Critical infrastructure is accurately mapped with application of sound surveying principles.|
The laser sensors we employ are generally indiscriminate when collecting data. A pulse is emitted and returned. We collect everything in the line-of-sight potential of our eye-safe lasers with great precision. Then we analyze the aggregation of billions of LiDAR points within a dataset to determine any phenomena and its relevancy to an intended purpose.
|The use of highly detailed Mobile LiDAR datasets provide the mechanism for feature extraction and attribution when used in conjunction with 360° spherical photography.|
I invite you to join me at the 2016 MAPPS Winter Conference for a presentation titled: “Big Data or Data That’s Big? The Pervasiveness of LiDAR in the Approaches to Engineering” as I am further addressing these topics and how we are managing data. And, continue to follow this blog for future insights.