Determining when to drive autonomously

a technology of autonomous driving and determining when to drive, which is applied in the direction of distance measurement, navigation instruments, instruments, etc., can solve the problems of driver not feeling particularly safe relying completely on the vehicle, driver may feel less safe in certain areas, and the vehicle may not be able to navigate without input from the driver

Active Publication Date: 2014-05-06
WAYMO LLC
View PDF143 Cites 278 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The patent describes a method for detecting objects and notifying a driver of a vehicle when there is a deviation from an expected range of values. The method uses data from sensors on the vehicle to detect objects and their characteristics, and compares them to traffic pattern model information to determine if there is a deviation. If there is, the method provides a notification to the driver and can also maneuver the vehicle defensively, such as slowing down, changing lanes, or increasing distance between the vehicle and another object. The technical effect of this patent is to improve safety and efficiency for drivers by detecting and responding to objects in real-time, improving awareness and control of the vehicle.

Problems solved by technology

If the detailed maps are incorrect, it may be particularly difficult for the vehicle to navigate without input from the driver.
In some driving situations, a driver may not feel particularly safe relying completely upon the vehicle to maneuver itself.
For example, a driver may feel less safe in areas with dense traffic or in close proximity to a vehicle that is moving erratically.
This may lessen the usefulness of an autonomous vehicle and a driver's sense of safety.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029]As shown in FIG. 1, an autonomous vehicle system 100 in accordance with one aspect of the disclosure includes a vehicle 101 with various components. While certain aspects of the disclosure are particularly useful in connection with specific types of vehicles, the vehicle 101 may be any type of vehicle including, but not limited to, cars, trucks, motorcycles, busses, boats, airplanes, helicopters, lawnmowers, recreational vehicles, amusement park vehicles, farm equipment, construction equipment, trams, golf carts, trains, and trolleys. The vehicle may have one or more computers, such as a computer 110 containing a processor 120, memory 130 and other components typically present in general purpose computers.

[0030]The processor 120 may be any conventional processor, such as commercially available CPUs. Alternatively, the processor may be a dedicated device such as an ASIC or other hardware-based processor. Although FIG. 1 functionally illustrates the processor, memory, and other ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

Aspects of the disclosure relate generally to determining whether an autonomous vehicle should be driven in an autonomous or semiautonomous mode (where steering, acceleration, and braking are controlled by the vehicle's computer). For example, a computer may maneuver a vehicle in an autonomous or a semiautonomous mode. The computer may continuously receive data from one or more sensors. This data may be processed to identify objects and the characteristics of the objects. The detected objects and their respective characteristics may be compared to a traffic pattern model and detailed map information. If the characteristics of the objects deviate from the traffic pattern model or detailed map information by more than some acceptable deviation threshold value, the computer may generate an alert to inform the driver of the need to take control of the vehicle or the computer may maneuver the vehicle in order to avoid any problems.

Description

BACKGROUND[0001]Autonomous vehicles use various computing systems to aid in the transport of drivers from one location to another. Some autonomous vehicles may require some initial input or continuous input from an operator, such as a pilot or driver. Other systems, for example autopilot systems, may be used only when the system has been engaged, which permits the operator to switch from a manual mode (where the operator exercises a high degree of control over the movement of the vehicle) to an autonomous mode (where the vehicle essentially drives itself) to modes that lie somewhere in between.[0002]These autonomous vehicles may maneuver themselves between locations using highly detailed maps in conjunction with sensors for detecting the vehicle's surroundings. If the detailed maps are incorrect, it may be particularly difficult for the vehicle to navigate without input from the driver.[0003]In some driving situations, a driver may not feel particularly safe relying completely upon ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(United States)
IPC IPC(8): G05D1/00
CPCG05D2201/0213B60W30/00G05D1/0061G05D1/00B60W50/082B60W30/182B60W2050/143B60W2420/403B60W2420/54B60W2520/14B60W2520/16B60W2520/18B60W2720/24B60W2554/80B60W2552/00B60W2554/00B60W2555/60B60W2556/50B60W2050/0075B60W2420/408B60W2554/802B60W60/0053B60W60/0061B60W2552/45B60W2552/50B60W2554/4029B60W2554/4026B60W2552/20B60W2556/40B60W2552/53B60W2552/25B60W60/00276B60W2554/60B60W2554/4041B60W2554/408
Inventor MONTEMERLO, MICHAEL STEVENMURVEIT, HYMAN JACKURMSON, CHRISTOPHER PAULDOLGOV, DMITRI A.NEMEC, PHILIP
Owner WAYMO LLC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products