Automated Truck Mounted Attenuator (00-022)

Project Description: Can an ATMA system and control concept be developed and demonstrated that makes it practical to remove the driver from the at-risk TMA vehicle in mobile and short duration work zone operations using a short following distance leader-follower control concept? Can an ATMA system be developed that allows a lead vehicle driver to perform their normal TMA operational tasks while monitoring and controlling the ATMA in the at risk TMA position in mobile work zone operations? Data Scope: The data contained within the files contain raw sensor data that is being aggregated to inform the autonomous system control. There are 4 runs that contain the information along the Smart Road Surface Street and Highway sections. Each run comprises a set of ROS topics that is in bag file form. Each bag file contains the following type of data: Lidar, IMU, GPS, and vehicle speed. Data Specification: types: gps_common/GPSFix -- [3db3d0a7bc53054c67c528af84710b70] sensor_msgs/Imu -- [6a62c6daae103f4ff57a132d6f95cec2] sensor_msgs/PointCloud2 -- [1158d486dd51d683ce2f1be655c3c181] std_msgs/Float64 -- [fdb28210bfa9d7c91146260178d9a584] topics: /dgps/fix_gated -- 10617 msgs -- : gps_common/GPSFix /imu/imu_enu/data -- 26543 msgs -- : sensor_msgs/Imu /velodyne_points -- 10616 msgs -- : sensor_msgs/PointCloud2 /vtti/speed_float -- 21235 msgs -- : std_msgs/Float64