The problem of surveying companies with LiDAR data processing

LiDAR sensors are becoming lighter, more accurate, more easily adapted to several plat-forms, and cheaper. This circumstance is enabling companies from all over the world to get involved in capturing data using this technology, either from airborne vehicles (manned or unmanned), or terrestrial (car, backpack or handheld).

In fact, the number of providers in the market has gone from a few large, specialized com-panies to hundreds of new players. The use cases have expanded. But the ease of making an investment in data capture hardware may not be matched by convenience and sophisti-cated automation in the transforming LiDAR data into a valuable product. Both are complex specialisations.

LiDAR data capture specialists sometimes have their own processing departments. Maintaining a complement of professional processing staff is a significant challenge, due to the peaks and valleys of work throughout the year. Even during peak times, it is often impossible to absorb the workload internally due to the short delivery timeframes required by customers. 

These are the reasons why these types of firms tend to reduce fixed costs in this segment, increasingly, firms specialised in capture are outsourcing the data processing to hyper-specialized companies such as DIELMO 3D.

New players, to their credit, often approach data capture with great professionalism. Unfortunately, they tend to underestimate the complexity of the processing. They assume that a fully automated software product will be capable of delivering competitive results. They soon come up against the stark reality: customers expectations about products are increasingly complex and demanding. Automated software may not be able to deliver that. 

Automated software products usually work with sample data very well in known areas. Unexpected problems often arise when those algorithms are applied to real projects covering hundreds or thousands of kilometers, It may not be easy to solve these in the time available. On the other hand, the outsourcing of LiDAR data processing to unreliable companies is also a constant source of problems.

Supplying products into the sophisticated LiDAR market of today requires bringing together the right resources: reliable automation that combines Artificial Intelligence with customized algorithms for each project, parallel computing and supercomputing, a team of the best experts in different disciplines to evolve the algorithms to match the project needs, and experts in LiDAR data processing to make use of these algorithms and conduct the numerous quality controls.

The key to having repeat customers is to rely on companies like DIELMO 3D. Their in-house tools and high expertise have helped many survey companies to add value to their raw data, and that winning combination is delivered cost effectively. 

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