Safety

Adjusts vehicle speed to maintain a safe distance from traffic ahead using sensors and automation.

Technologies that provide drivers with essential information, warnings, and automatic features to help improve driving safety.

The ability of autonomous vehicles to anticipate the actions of other road users, such as pedestrians and other vehicles.

A system that monitors and alerts the driver (or vehicle in autonomous mode) about objects in areas not visible through mirrors.

A method in motion planning that limits rapid changes in acceleration to ensure smooth driving.

A sensor that uses laser light to create detailed 3D maps of a vehicle’s surroundings.

The process of determining the path an autonomous vehicle will take to reach its destination safely.

The ability of autonomous vehicles to anticipate the future movements of other road users.

The process of determining the precise path and speed that an autonomous vehicle will follow.

Sensors that use sound waves to detect nearby objects, typically used for low-speed maneuvers like parking.

The simulation of human intelligence in machines, enabling self-driving cars to make decisions.

Detects potential collisions and automatically applies brakes to prevent or reduce impact.

A system that monitors and alerts the driver (or vehicle in autonomous mode) about objects in areas not visible through mirrors.

A system that monitors and alerts the driver (or vehicle in autonomous mode) about objects in areas not visible through mirrors.

A system that monitors and alerts the driver (or vehicle in autonomous mode) about objects in areas not visible through mirrors.

A tactile response system that provides feedback to drivers or passengers via touch or vibration.

A system that coordinates autonomous vehicles at intersections to avoid collisions and reduce delays.

The identification of objects such as pedestrians, other vehicles, and obstacles using sensors.

Wireless software updates delivered directly to a vehicle, keeping autonomous systems up to date.

The process of interpreting sensor data to understand the environment around an autonomous vehicle.

The integration of data from multiple sensors (e.g., LiDAR, radar, and cameras) to create a unified view of the environment.

The system that helps manage a vehicle’s rotation around its vertical axis, critical for stability in autonomous driving.