Chapter 8: Multimodal Perception and Intelligent Decision-Making
Visual perception is the process in which a machine acquires environmental information through sensors and uses computer vision technology to analyze and understand images. This includes tasks such as object detection and recognition, providing the system with environmental awareness capabilities. Obstacle avoidance decision-making builds on environmental information obtained through visual perception, using environmental modeling, path planning, and intelligent decision-making algorithms to formulate behavioral strategies that avoid obstacles and collisions while achieving predetermined goals. The two are interdependent: visual perception provides environmental data for obstacle avoidance decisions, and obstacle avoidance algorithms execute behaviors based on that data. Together, they play a critical role in autonomous driving, robot navigation, and other fields, driving the intelligent application and development of unmanned systems in complex environments.
The RflySim Toolchain enables simulation of various sensors, including cameras and LiDAR, providing users with a platform to test visual perception algorithms. Users can create virtual environments in RflySim — including buildings, terrain, and obstacles — to test and evaluate visual perception algorithm performance under different conditions. Developers can validate and optimize computer vision algorithms (object detection, recognition, etc.) to meet perception requirements across different UAV operational scenarios. The toolchain also allows users to simulate path planning, testing the drone's ability to choose safe paths and avoid obstacles in a virtual environment. Simulation-based validation and tuning of obstacle avoidance algorithms ensures that drones can make intelligent decisions across various environments and obstacle configurations.
Session 7: Visual Perception and Obstacle Avoidance Decision-Making (Part 1)
Session 7: Visual Perception and Obstacle Avoidance Decision-Making (Part 2)
Session 7: Visual Perception and Obstacle Avoidance Decision-Making (Part 3)