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The communication of autonomous vehicles can be categorized based on what the vehicle is communicating with. Common terms include Vehicle-to-Vehicle (V2V) communication and Vehicle-to-Everything (V2X) communication.

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C-V2X refers to cellular vehicle-to-everything (V2X) communication using mobile telecommunications technologies (e.g., LTE and 5G) developed by the 3GPP organization.

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ODD (Operational Design Domain) defines the specific conditions under which an autonomous driving system is designed to operate.

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Terms like 'sensor fusion' and 'redundancy' simply mean that autonomous cars combine information from many sensors and have backup systems to stay safe if one part fails.

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Understanding terms like ODD or MRM helps users interpret how automated systems operate.

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Sensor fusion is the process of combining sensor data or data derived from disparate sources so that the resulting information has less uncertainty than would be possible if these sources were used individually.

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The term "Deterministic Execution" means that an AI task (like detecting a pedestrian) is guaranteed to complete within an exactly predetermined timeframe. This predictability is essential for the safety of autonomous systems.

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ODD, or Operational Design Domain, defines the conditions where an automated-driving feature is designed to operate.

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Ranging means estimating the distance between devices, a key concept in UWB-based positioning.

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In distributed radar systems, 'coherent processing' means that all radar nodes share a common reference for phase and frequency, allowing their signals to be combined in a way that preserves phase information. This enables advanced techniques like Doppler measurement and high-resolution imaging. 'Non-coherent processing,' on the other hand, does not maintain phase alignment between nodes; instead, it focuses on combining amplitude or power information. While non-coherent systems are simpler and more robust to synchronization errors, coherent systems provide superior accuracy and sensitivity for detecting small or slow-moving targets.

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Field of View describes how much of the surrounding scene a sensor or display can cover.

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Many core terms in autonomous systems, such as domain generalization, uncertainty estimation, and calibration, describe how models maintain reliable behavior when conditions differ from the training data.

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ASIL is a safety classification defined in ISO 26262 that determines the required risk reduction for automotive electronic systems.

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In the automotive industry, DMS refers to Driver Monitoring Systems. Photoplethysmography (PPG) is the the sensor technology used in wearables to track blood flow and heart metrics.

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Occupancy grid maps (OGM) represent free, occupied and unknown space in the environment, supporting path planning and obstacle avoidance.

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Perception is the vehicle’s ability to detect and interpret its surroundings, including lanes, obstacles, vehicles, pedestrians, and cyclists.