In one version of the KITTI benchmark ("hard" 3-D detection with an IoU of 0.5), for example, the previous best result for camera-only data was an accuracy of 30%. The Cornell team managed to ...

Smart City trials are ongoing, many with LiDAR which offers performance consistency in bad weather and lighting, and data privacy. Real deployments will rely on ease of use, reliability ...

This story was originally published by Data-Smart City Solutions. In 2016, our project director Stephen Goldsmith wrote about how Washington D.C.’s Urban Forestry Administration (UFA) used lidar ...

While lidar is just another complement to machine learning, there were no relative examples of 3-D sensing capabilities before. Autonomy of Things could be a breath of fresh air in case lidar’s ...

Dr. Philippe Simard of SimActive explains the strengths, differences, and integration of photogrammetry vs. LiDAR in drone mapping workflows.

Do you need to calculate time-of-flight? Do you need to calculate absolute time? Then you'll probably need a time-to-digital ...

Potential benefits became clearer as the team realized the precision of the data. For example, a forester on a typical foot patrol might hike more than 50 miles to identify minimal vegetation work ...

Timely data processing isn't the only limitation of current LiDAR systems. ... When a LiDAR system stops working on, for example, a robot vacuum, there's no real danger.

Lidar data are billions of discrete data points,” Graumann said. “When you’re thinking about the world of AI and machine learning, there’s nothing more valuable than more data points to ...

The global LiDAR Market size value in 2025 is projected to be valued at USD 2.99 billion and revenue forecast by 2030 to reach USD 4.71 billion, growing at a CAGR of 9.5% according to a latest ...

A new lidar survey of Michigan’s Upper Peninsula revealed evidence of extensive farming by Native Americans that has stunned archaeologists, according to a statement released by Dartmouth College. The ...