Roadmap

Currently working on bold

System

• define ROS node topology
• add documentation
• start working on Gazebo end-to-end simulator

Hardware

• camera
• LIDAR
• Nvidia Jetson setup
• capture with rosbag
• install and run on the car
• capture demo content
• capture real content
• Nvidia Drive PX2 setup
• after meeting with Nvidia decided to use Jetson AGX Xavier
• Nvidia Jetson Xavier setup
• install and run on the car
• TODO: update regarding the electric car

Visual SLAM

• test orbslam 2
  • discarded as not robust enough
• test orbslam_dwo
  • discarded since no RT branch available, also slower that original orbslam
• test rovio
  • works OK on servo data
• test servo on provided data
  • compile
  • test ROS node on provided data - works fine
• continue working with servo
  • integrate to the main system
  • test on our data
• add to the main ROS system
• test cone detection
• integrate cone detection
• add to the main system
• performance optimization
  • integrate with orbslam2-gpu

LIDAR SLAM

• test the data
• add node to ROS
• ground removal
• cone segmentation and clustering
• cone tracking
• LIDAR landmark based SLAM
• control LIDAR speed from ROS, see here
• filter LIDAR by FOV and distance, search for ring information, see here
• LIDAR-camera calibration, see here
• fusion with camera

Model Predictive Control

• explore different options:
  • MPCC Model Predictive Contouring Controller (MPCC) for Autonomous Racing
  • MPPI Model Predictive Path Integral Controller (MPPI)
• start working on simulator