Autonomous Vehicle Camera System
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An Autonomous Vehicle Camera System is a camera system that provides visual perception capability for autonomous vehicle navigation tasks.
- AKA: AV Vision System, Autonomous Vehicle Optical System, Self-Driving Camera Array.
- Context:
- It can typically perform Object Recognition Tasks through computer vision algorithms.
- It can typically enable Lane Detection Tasks via image processing pipelines.
- It can typically support Traffic Sign Recognition Tasks using pattern recognition methods.
- It can typically coordinate Front-Facing Cameras with surround-view cameras for 360-degree visual coverage.
- It can often integrate Stereo Camera Pairs with monocular cameras for depth estimation tasks.
- It can often combine Infrared Cameras with visible-light cameras for all-weather capability.
- It can range from being a Single-Camera System to being a Multi-Camera System, depending on its camera count.
- It can range from being a Standard-Definition System to being a High-Definition System, depending on its image resolution.
- It can range from being a Narrow-Field System to being a Wide-Field System, depending on its field of view.
- It can range from being a Visible-Only System to being a Multi-Spectrum System, depending on its spectral sensitivity.
- It can interface with Autonomous Vehicle Computing Systems for vision processing tasks.
- ...
- Examples:
- Tesla Camera Systems, such as:
- Specialized Camera Systems, such as:
- Configuration Types, such as:
- ...
- Counter-Examples:
- LIDAR System, which uses laser scanning rather than optical imaging.
- Radar System, which uses radio waves rather than visible light.
- Backup Camera, which lacks autonomous driving integration.
- See: Camera System, Camera Sensor, Computer Vision System, Image Processing System, Autonomous Vehicle Sensor System, Machine Vision, Autonomous Vehicle Computing System.