This video shows the weather and environment simulation capability of  MAVS, which can simulate a variety of weather phenomenon including rain, snow, haze, fog, and dust, as well as time of day. These environmental factors will affect the lidar sensor performance as well as the camera.

The off-road features of MAVS also make it well-suited for agriculutural applications. This video shows autonomous navigation of an Amiga robot through a cotton field in ROS-2.

MAVS features easy integration with ROS-2 via the mavs-ros2 package. This video shows a speed-bump simulation with the output from the simulation saved to a bag file and replayed in Foxglove.

This video shows a simulation of an autonomous follower vehicle that relies on automotive radar to calculate the distance and heading to the lead vehicle. 

MAVS features realistic simulation of lidar-dust interaction. This video features MAVS dust simulation and shows lidar returns from the dust point cloud.