Module 7: Perception Simulation in CARLA
Implementing perception algorithms in ROS within CARLA Evaluating perception algorithms
Module 6: ROS-CARLA Bridge
Overview of Robot Operating System (ROS) Establishing a ROS-CARLA bridge
Module 5: Camera and Lidar Systems
Camera models and image formation Lens distortion and calibration techniques
Module 4: Static and Dynamic Object Detection
Object detection using traditional methods like HOG and Haar features
Module 3: Scene Detection and Understanding
Semantic segmentation and scene labeling Deep learning for scene understanding
Module 2: Lane Detection
Camera calibration and image rectification Color space transformations and edge
Module 1: Introduction to Perception for Autonomous Driving
Role of perception in autonomous driving systems Object detection, tracking,
