Waymo llc (20240346933). FALLBACK REQUESTS FOR AUTONOMOUS VEHICLES simplified abstract

FALLBACK REQUESTS FOR AUTONOMOUS VEHICLES

Organization Name

waymo llc

Inventor(s)

Joshua Seth Herbach of San Francisco CA (US)

Philip Nemec of San Jose CA (US)

Nathaniel Fairfield of Mountain View CA (US)

FALLBACK REQUESTS FOR AUTONOMOUS VEHICLES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346933 titled 'FALLBACK REQUESTS FOR AUTONOMOUS VEHICLES

Simplified Explanation: The patent application describes a system with memory, multiple self-driving systems for vehicle control, and processors. The processors receive fallback tasks linked to primary tasks and triggers for each fallback task. Triggers indicate when a vehicle needs attention. The processors send instructions to the self-driving systems, receive status updates, and determine trigger conditions based on updates to send further instructions.

• Key Features and Innovation:

   - System with memory, self-driving systems, and processors
   - Fallback tasks associated with primary tasks
   - Triggers indicating when a vehicle needs attention
   - Instructions sent to self-driving systems based on triggers

• Potential Applications:

   - Autonomous vehicle technology
   - Fleet management systems
   - Traffic control and monitoring

• Problems Solved:

   - Efficient management of self-driving systems
   - Timely response to vehicle operation issues

• Benefits:

   - Enhanced vehicle safety
   - Improved system reliability
   - Optimal vehicle performance

• Commercial Applications:

   - Autonomous vehicle manufacturers
   - Transportation companies
   - Automotive technology providers

• Prior Art:

   - Researchers in the field of autonomous vehicles
   - Companies developing self-driving technology

• Frequently Updated Research:

   - Advancements in self-driving systems
   - Innovations in vehicle automation

Questions about the Technology: 1. How does this system improve the efficiency of self-driving vehicles? 2. What are the potential implications of using triggers for vehicle attention in autonomous systems?

Question 1: How does this system improve the efficiency of self-driving vehicles? The system enhances efficiency by allowing for the seamless execution of primary tasks and fallback tasks based on trigger conditions, ensuring timely responses to vehicle operation issues.

Question 2: What are the potential implications of using triggers for vehicle attention in autonomous systems? Using triggers for vehicle attention can lead to improved safety, reliability, and performance of autonomous vehicles by proactively addressing operational issues.

Original Abstract Submitted

aspects of the present disclosure relate to a system having a memory, a plurality of self-driving systems for controlling a vehicle, and one or more processors. the processors are configured to receive at least one fallback task in association with a request for a primary task and at least one trigger of each fallback task. each trigger is a set of conditions that, when satisfied, indicate when a vehicle requires attention for proper operation. the processors are also configured to send instructions to the self-driving systems to execute the primary task and receive status updates from the self-driving systems. the processors are configured to determine that a set of conditions of a trigger is satisfied based on the status updates and send further instructions based on the associated fallback task to the self-driving systems.