I mean laser ranging data from a ground based, moving vehicle. As it's the data the self-driving algorithms chew on, I'd assume there must be some interest.


Have you tried University of Michigan? They have some large datasets available for download from their test runs around campus:

We provide a dataset collected by an autonomous ground vehicle testbed, based upon a modified Ford F-250 pickup truck. The vehicle is outfitted with a professional (Applanix POS LV) and consumer (Xsens MTI-G) Inertial Measuring Unit (IMU), a Velodyne 3D-lidar scanner, two push-broom forward looking Riegl lidars, and a Point Grey Ladybug3 omnidirectional camera system. Here we present the time-registered data from these sensors mounted on the vehicle, collected while driving the vehicle around the Ford Research campus and downtown Dearborn, Michigan during November-December 2009. The vehicle path trajectory in these datasets contain several large and small-scale loop closures, which should be useful for testing various state of the art computer vision and SLAM (Simultaneous Localization and Mapping) algorithms.


The University of Wisconsin Lidar Group provides several LIDAR data sets here.

The Institute of Meteorology of the University of Hamburg, Germany, provides LIDAR data here.

You might also have a look into the EBAS database of the NILU (Norwegian Institute for Air Research). It hosts several air quality datasets from all over Europe and also from some non-European locations. Maybe, there is also LIDAR data available.


NCLT - The University of Michigan North Campus Long-Term Vision and LIDAR Dataset http://robots.engin.umich.edu/nclt/

You can found another lidar dataset in https://arxiv.org/pdf/1706.08775.pdf

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