WAYMO LLC (20240239356). REDUNDANT HARDWARE SYSTEM FOR AUTONOMOUS VEHICLES simplified abstract

REDUNDANT HARDWARE SYSTEM FOR AUTONOMOUS VEHICLES

Organization Name

WAYMO LLC

Inventor(s)

Emily Chi of Los Angeles CA (US)

Ryan Joseph Andrade of Morgan Hill CA (US)

Andreas Wendel of Mountain View CA (US)

Michael James of Northville MI (US)

Christian Lauterbach of Campbell CA (US)

Etai Bruhis of Palo Alto CA (US)

Christopher Kennedy Ludwick of Los Altos CA (US)

Alexander Zbrozek of Sunnyvale CA (US)

Pieter Kapsenberg of Santa Clara CA (US)

Zhuyuan Liu of Los Altos CA (US)

Daniel Rosenband of San Jose CA (US)

REDUNDANT HARDWARE SYSTEM FOR AUTONOMOUS VEHICLES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240239356 titled 'REDUNDANT HARDWARE SYSTEM FOR AUTONOMOUS VEHICLES

The technology described in the patent application involves partially redundant equipment architectures for vehicles capable of operating in autonomous driving mode. This includes fallback configurations with multiple sensor arrangements providing a minimum field of view around the vehicle, as well as fallback configurations for computing and power resources triggered by various conditions.

• Fallback configurations with multiple sensor arrangements
• Fallback configurations for computing and power resources
• Triggering conditions for fallback modes include failures, faults, driving mode, environmental conditions, and more
• Fallback modes may involve altering trajectory, speed, or destination of the vehicle

Potential Applications: - Autonomous vehicles - Transportation systems - Vehicle safety systems

Problems Solved: - Enhancing vehicle safety in autonomous driving mode - Reducing the risk of system failures in critical situations

Benefits: - Improved reliability and safety in autonomous vehicles - Enhanced adaptability to changing driving conditions

Commercial Applications: Title: "Enhancing Safety in Autonomous Vehicles: Fallback Equipment Architectures" This technology could be utilized by companies developing autonomous vehicles to enhance safety features and ensure reliable operation in various driving conditions.

Questions about the technology: 1. How does the technology improve the safety of autonomous vehicles? - The technology enhances safety by providing fallback configurations for equipment failures or other adverse conditions. 2. What are the potential implications of this technology for the future of autonomous driving? - The technology could lead to more reliable and secure autonomous vehicles, increasing public trust in this emerging technology.

Original Abstract Submitted

the technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (fov) around the vehicle. for instance, different sensor arrangements are logically associated with different operating domains of the vehicle. fallback configurations for computing resources and/or power resources are also provided. each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors. fallback modes may involve altering a previously planned trajectory, altering vehicle speed, and/or altering a destination of the vehicle.