Chrono SENSOR module tutorials 
  The Chrono distribution contains several demos for modeling and simulating sensors for robots and autonomous vehicles with the SENSOR module.
Chrono::Sensor provides support for:
- RGB mono Camera
 - Lidar
 - Radar
 - GPS
 - IMU (accelerometer, gyroscope, magnetometer)
 - Tachometer 
 
These are parameterized models of sensors commonly used in robotic and autonomous vehicle systems.
In addition to the main library, the SENSOR module also creates a library of pre-defined SENSOR models which currently contains:
- Generic Camera
 - Lidar
- Generic lidar
 - Velodyne VLP-16 (Puck)
 - Velodyne HDL-32E
 
 - Generic GPS
 - Generic IMUs
 
Select sensor demos:
- Basic Sensor Demos
- demo_SEN_Camera - example camera sensors with custom filters
 - demo_SEN_Lidar - example lidar sensor with custom filters
 - demo_SEN_GPSIMU - example using a GPS and IMU on a pendulum
 - demo_SEN_tachometer - example use of a tachometer to measure body's rotational speed
 - demo_SEN_JSON - example use of sensors through JSON interface
 
 - Vehicle and Sensors (require Chrono::Vehicle and Chrono::Irrlicht)
- demo_SEN_Gator - example vehicle equipped with sensors
 - demo_SEN_HMMWV - example HMMWV equipped with sensors
 - demo_SEN_deformableSoil - example sensing on deformable terrain
 
 - Sensors with TensorRT (requires CH_USE_TENSOR_RT=ON in cmake)
- demo_SEN_NNCamera - example for using a camera with a filter based on a neural net with inference through TensorRT
 - demo_SRN_rl_infer - example using sensor with neural net to perform driving using reinforcement learning