LiDAR generates high accuracy point clouds and acts as a building block for many technologies. But processing and storing the large amount of data generated has always been a big challenge. This blog post will uncover the on-device motion detection through background subtraction and explain how it helps in reducing the total data.
LiDAR technology has acted as a building block for many technologies and applications but has also been mired with several myths and false presumptions. As the second part of this blog series, we have rounded up more common myths about LiDAR and have debunked them.
Capturing terrain aerially has many advantages and therefore offers exciting use cases in numerous industries. Robust and small LiDAR sensors enable the recording of terrain with centimeter accuracy and thus provide information about the conditions while cutting down costs and and man-hours.
LiDAR technology has been a revelation for many sensor-based applications but has also been the focus of many myths and false presumptions. We have rounded up the most common myths and debunked them in this two-part blog series.
How was Blickfeld founded? What does a typical working day look like? What challenges are yet to be overcome, what milestones to be celebrated? Blickfeld’s founders will be answering these and other questions over the next few months.
LiDAR in security applications can act as a much-needed breakthrough for the outdated legacy systems. Learn how LiDAR operates in a security system, its typical applications, and what makes it stand out from other sensors.
LiDAR enables applications in a wide variety of fields – we often write that. But what do these applications actually look like? We present five different possible applications based on a specific software feature.
FMCW is considered a game-changer for LiDAR – but does the technology really have the potential to transform the industry? Is FMCW even ready for use in sensor technology? And why do most LiDAR manufacturers prefer to continue to rely on time-of-flight?
LiDAR is the latest cutting-edge technology leveraging 3D point cloud images to enable many applications. But how can one assess the performance metrics and decide which LiDAR is a good fit for their application?
Since Elon Musk claimed that LiDAR is not needed for autonomous driving, there has been a very lively discussion in the industry. Will it work without LiDARs? Are cameras enough to safely bring autonomous driving onto the streets?
Cars can already park themselves today – but what comes next? Automated highway driving or the possibility of taking a nap at the wheel? What does German legislation look like and what do the users want?