Waymo LLC

Vijaysai Patnaik

William Grossman

Peter Strohm

Robert J Chen

The technology relates to detection of aberrant driving situations during operation of a vehicle in an autonomous driving mode. Aberrant situations may include potential theft or unsafe conditions, which are determined according to one or more signals. The signals are derived from information detected about the environment around the vehicle, such as from one or more sensors disposed on the vehicle. In response to an aberrant situation, the vehicle may take various corrective action, such as rerouting, locking down the vehicle or communicating with remote assistance. The type of corrective action taken may depend on a type of cargo being transported or whether one or more passengers are in the vehicle. If there are passengers, the system may communicate with the passengers via the passenger's client computing devices or by presenting visual or audible information via a user interface system of the vehicle.

Safety considerations for self-driving vehicles

The technology relates to autonomous vehicles suffering a breakdown along a roadway. Onboard systems may utilize various proactive operations to alert specific vehicles or other objects on or near the roadway about the breakdown. This can be done alternatively or in addition to turning on the hazard lights or calling for remote assistance. The disabled vehicle is able to detect nearby and approaching objects. The detection may be performed in combination with a determination of the type of object or predicted behavior for that object, enables the vehicle to generate a targeted alert that can be transmitted or otherwise presented to that particular object. This approach provides the other object, such as a vehicle, bicyclist or pedestrian, sufficient time and information about the breakdown to take appropriate corrective action. Different communication options are available and may be selected based on the particular object, environmental conditions and other factors.

Maintaining road safety when there is a disabled autonomous vehicle

The technology relates to assisting large self-driving vehicles, such as cargo vehicles, as they maneuver towards and/or park at a destination facility. This may include a given vehicle transitioning between different autonomous driving modes. Such a vehicles may be permitted to drive in a fully autonomous mode on certain roadways for the majority of a trip, but may need to change to a partially autonomous mode on other roadways or when entering or leaving a destination facility such as a warehouse, depot or service center. Large vehicles such as cargo truck may have limited room to maneuver in and park at the destination, which may also prevent operation in a fully autonomous mode. Here, information from the destination facility and/or a remote assistance service can be employed to aid in real-time semi-autonomous maneuvering.

Method for performing a vehicle assist operation

The technology relates to enhancing the operation of autonomous vehicles. Extendible sensors are deployed based on detected or predicted conditions around a vehicle while operating in a self-driving mode. When not needed, the sensors are fully retracted into the vehicle to reduce drag and increase fuel economy. When the onboard system determines that there is a need for a deployable sensor, such as to enhance the field of view of the perception system, the sensor is extended in a predetermined manner. The deployment may depend on one or more operating conditions and/or particular driving scenarios. These and other sensors of the vehicle may be protected with a rugged housing, for instance to protect against damage from the elements. And in other situations, deployable foils may extend from the vehicle's chassis to increase drag and enhance braking. This may be helpful for large trucks in steep descent situations.

Efficient autonomous trucks

Methods for transitioning between autonomous driving modes in large vehicles

The technology relates to cargo vehicles. National, regional and/or local regulations set requirements for operating cargo vehicles, including how to distribute and secure cargo, and how often the cargo should be inspected during a trip. However, such regulations have been focused on traditional human-driven vehicles. Aspects of the technology address various issues involved with securement and inspection of cargo before a trip, as well as monitoring during the trip so that corrective action may be taken as warranted. For instance, imagery and other sensor information may be used to enable proper securement of cargo before starting a trip. Onboard sensors along the vehicle monitor the cargo and securement devices/systems during the trip to identify issues as they arise. Such information is used by the onboard autonomous driving system (or a human driver) to take corrective action depending on the nature of the issue.

Cargo inspection, monitoring and securement in self-driving trucks

The technology involves operation of a self-driving truck or other cargo vehicle when it is being inspected at a weigh station. This may include determining whether a weigh station is open for inspection. Once at the weigh station, the vehicle may follow instructions of an inspection officer or autonomous inspection system. The vehicle may perform predefined actions or operations so that various vehicle systems and safety issues can be evaluated, such as the brakes, lights, tires, connections between the tractor and trailer, exposed fuel tanks, leaks, etc. A visual inspection may be performed to ensure the load is secured, vehicle and cargo documents meet certain criteria, and the carrier's safety record meets any requirements. In addition, the weigh station itself may be operated in a partly or fully autonomous mode when dealing with autonomous and manually driven vehicles.

Self-driving vehicles and weigh station operation

A method includes detecting, by a sensing system of an autonomous vehicle (AV) executing a trip from a first location to a second location, a signal from a source external to the AV to stop the AV, and analyzing the signal to determine whether the AV is to be stopped in response to the signal. Responsive to determining that the AV is to be stopped, the method includes causing a vehicle control system of the AV to stop the AV at a third location, determining that one or more parking brakes are to be engaged, and causing the vehicle control system to automatically engage the one or more parking brakes.

External indication handling for autonomous driving systems

The disclosure relates to managing a fleet of autonomous vehicles. For instance, a method may include receiving, from a plurality of the autonomous vehicles of the fleet, reports identifying locations of detected puddles. A miles per puddle rate may be determined based on the received reports. An operating policy for the fleet may be determined based on the miles per puddle rate. An instruction may be sent to one or more of the autonomous vehicles of the fleet in order to implement the operating policy.

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San Francisco, CA, United States of America

Vijaysai Patnaik