EML 4842C
Autonomous Vehicles
Realization of autonomous vehicle navigation. Integration of sensors such as global positioning system (GPS), light detection and ranging (LIDAR), position encoders, inertial measurement units (IMU). Vehicle propulsion and steering. Python programming language, Linux operating system, robot operating system (ROS, ROS2). Autonomous navigation, obstacle avoidance, path planning, dead reckoning.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: EML 4501 or EAS 4700 or EAS 4710 . Attributes: Artificial Intelligence
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Autonomous Vehicles · 3 Credits