Software

Creating 3D representations to help self-driving vehicles navigate accurately.

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

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

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

A vehicle capable of sensing its environment and operating without human intervention.

A vehicle capable of sensing its environment and operating without human intervention.

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

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 uses electronic controls instead of traditional hydraulic systems to manage braking in vehicles.

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 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 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.

An optimization algorithm used in machine learning to minimize errors in AI models for self-driving.

A virtual boundary that defines specific geographic areas where autonomous vehicles can operate.

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

Detailed, highly accurate maps used by autonomous vehicles to navigate complex environments.

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

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

Metrics used to evaluate the effectiveness and efficiency of self-driving technologies.

A mathematical model used to describe the motion of autonomous vehicles based on their physical properties.

The process by which a self-driving vehicle determines its precise location using sensors and maps.

The system responsible for controlling a vehicle’s speed and maintaining a safe following distance.

Level 2 self-driving allows steering and speed control, but the driver must still remain alert and ready to take over.

A system where multiple autonomous entities, like cars, interact and make decisions in real time.

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

A machine learning model that mimics the human brain, allowing self-driving cars to learn from data.

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

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

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

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

An emerging technology that could significantly enhance the computational power of self-driving systems.

A control strategy where the vehicle reacts to real-time changes in its environment without pre-planning.

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

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

Remote control of an autonomous vehicle, often used in scenarios where human intervention is necessary.

The deployment of autonomous vehicles in urban environments with complex traffic and pedestrian dynamics.

The use of AI to interpret images from cameras and enable autonomous vehicles to understand their environment.

Communication technology that allows vehicles to interact with each other and surrounding infrastructure.

A sensor used to measure the rotation of a vehicle’s wheels to assist with localization and speed calculations.

A subsidiary of Alphabet focused on developing and deploying autonomous driving technology.

A technology that replaces mechanical control systems in vehicles (like steering or braking) with electronic controls.

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

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

A proposed mode of high-speed transportation that could integrate autonomous vehicle technologies.

Communication systems that allow vehicles to interact with road infrastructure like traffic lights.