Abstract: Aspects of the disclosure provide for arranging trips for autonomous vehicles. For instance, a request for a trip may be received by one or more processors of one or more server computing devices. The request may identify an initial location. A weather condition at the initial location may be identified. One or more internal vehicle state conditions and one or more priorities for pulling over may be determined based on the weather condition. A second location may be determined based on the one or more priorities and the initial location. Dispatch instructions may be provided to an autonomous vehicle, the dispatch instructions identifying the second location and the one or more internal vehicle state conditions in order to cause computing devices of the autonomous vehicle to control the autonomous vehicle to the second location and adjust internal vehicle state conditions based on the one or more internal vehicle state conditions.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for agent trajectory prediction using vectorized inputs.

Abstract: Aspects of the disclosure relate to providing information about a vehicle dispatched to pick up the user. In one example, a request for the vehicle to stop at a particular location is sent. In response, information identifying a current location of the vehicle is received. A map is generated. The map includes a first marker identifying the received location of the vehicle, a second marker identifying the particular location, and a shape defining an area around the second marker at which the vehicle may stop. The shape has an edge at least a minimum distance greater than zero from the second area. A route is displayed on the map between the first marker and the shape such that the route ends at the shape and does not reach the second marker. Progress of the vehicle towards the area along the route is displayed based on received updated location information for the vehicle.

Abstract: Aspects and implementations are related to systems and techniques enabling predictions of a motion change in a moving vehicle, predictions of an onset of a motion of an idling vehicle, and classification of vehicles based, at least in part, on vibrometry data obtained using light detection and ranging devices.

Abstract: A sensing device includes a stationary portion and a rotating portion. The rotating portion is spaced apart from the stationary portion by a gap and is configured to rotate relative to the stationary portion. The rotating portion includes one or more sensors that generate data. A communication interface in the rotating portion is configured to encode the data with error correction codes to provide encoded data, modulate a radio frequency (RF) signal that includes a plurality of sub-carriers with the encoded data to provide a data-modulated RF signal (e.g., an orthogonal frequency-division multiplexing (OFDM) signal), and transmit the data-modulated RF signal to the stationary portion via a wireless data transformer. The wireless data transformer includes a first conductive structure in the stationary portion and a second conductive structure in the rotating portion. The first and second conductive structures are inductively coupled together across the gap.

Abstract: The technology relates to camera systems for vehicles having an autonomous driving mode. An example system includes a first camera mounted on a vehicle in order to capture images of the vehicle's environment. The first camera has a first exposure time and being without an ND filter. The system also includes a second camera mounted on the vehicle in order to capture images of the vehicle's environment and having an ND filter. The system also includes one or more processors configured to capture images using the first camera and the first exposure time, capture images using the second camera and the second exposure time, use the images captured using the second camera to identify illuminated objects, use the images captured using the first camera to identify the locations of objects, and use the identified illuminated objects and identified locations of objects to control the vehicle in an autonomous driving mode.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for generating and editing object track labels for objects detected in video data. One of the methods includes obtaining a video segment comprising multiple image frames associated with multiple time points; obtaining object track data specifying a set of object tracks; providing, for presentation to a user, a user interface for modifying the object track data, the user interface displaying object timeline representations of the object tracks; receiving one or more user inputs that indicate one or more modifications to the object timeline representations; updating the object timeline representations displayed in the timeline display area; and updating the object track data according to the updated object timeline representations.

Abstract: Aspects of the disclosure relate to reducing the likelihood of injury to a passenger in a collision. In one example, a computing device may determine that an impact between a vehicle and an object external to the vehicle is imminent. The computing device may determine a protection range for a vehicle's airbag based on characteristics of the passenger, including the passenger's seating location within the vehicle. An airbag extension system may position an airbag package, including the vehicle's airbag, such that the vehicle's airbag is within the protection range of the passenger's seating location.

Abstract: The present disclosure relates to optical systems and vehicles, which may incorporate lidar sensors. An example optical system includes a light-emitter device configured to emit emission light. The optical system also includes an optical element including a first surface and an opposing second surface. The first surface includes a diffusing surface configured to diffuse the emission light to form diffused light. The second surface includes a focusing surface. A combination of the first surface and the second surface are configured to provide an intensity profile of light emitted within a field of view of the optical system.

Abstract: The technology relates to lens assemblies for sensor units that provide a low but consistent preload force over the entire operational temperature range of the device. Consistent preloading helps to avoid cracking and plastic deformation. In particular, a compliant structure of a polymeric material is able to expand and contract across temperature extremes. In addition, the polymeric material is arranged in conjunction with a retainer ring to form a discontinuous seal with the lens. This provides in a leak path that is able to reduce condensation or contaminants. As a result, moisture within the sensor unit is permitted to escape, reducing or eliminating impairments on the lens or other parts of the sensor unit that could otherwise impair device operation.

Abstract: The technology relates to using on-board sensor data, off-board information and a deep learning model to classify road wetness and/or to perform a regression analysis on road wetness based on a set of input information. Such information includes on-board and/or off-board signals obtained from one or more sources including on-board perception sensors, other on-board modules, external weather measurement, external weather services, etc. The ground truth includes measurements of water film thickness and/or ice coverage on road surfaces. The ground truth, on-board and off-board signals are used to build the model. The constructed model can be deployed in autonomous vehicles for classifying/regressing the road wetness with on-board and/or off-board signals as the input, without referring to the ground truth.

Abstract: An integrated hybrid rotary assembly is configured to provide power, torque and bi-directional communication to a rotatable sensor, such as a lidar, radar or optical sensor. A common ferrite core is shared by a motor, rotary transformer and radio frequency communication link. This hybrid configuration reduces cost, simplifies the manufacturing process, and can improve system reliability by employing a minimum number of parts. The assembly can be integrated with the sensor unit, which may be used in vehicles and other systems.

Abstract: 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.

Abstract: Aspects of the disclosure provide for determining when to provide and providing secondary disengage alerts for a vehicle having autonomous and manual driving modes. For instance, while the vehicle is being controlled in the autonomous driving mode, user input is received at one or more user input devices of the vehicle. In response to receiving the user input, the vehicle may be transitioned from the autonomous driving mode to a manual driving mode and provide a primary disengage alert to an occupant of the vehicle regarding the transition. Whether to provide a secondary disengage alert may be determined based on at least circumstances of the user input. After the transition, the secondary disengage alert may be provided based on the determination.

Abstract: Aspects of the disclosure provide for controlling a vehicle in an autonomous driving mode. For instance, sensor data for an object as well as a plurality of predicted trajectories may be received. Each predicted trajectory may represent a plurality of possible future locations for the object. A grid including a plurality of cells, each being associated with a geographic area, may be generated. Probabilities that the object will enter the geographic area associated with each of the plurality of cells over a period of time into the future may be determined based on the sensor data in order to generate a heat map. One or more of the plurality of predicted trajectories may be compared to the heat map. The vehicle may be controlled in the autonomous driving mode based on the comparison.

Abstract: Systems and methods are disclosed to identify a presence of a volumetric medium in an environment associated with a LIDAR system. In some implementations, the LIDAR system may emit a light pulse into the environment, receive a return light pulse corresponding to reflection of the emitted light pulse by a surface in the environment, and determine a pulse width of the received light pulse. The LIDAR system may compare the determined pulse width with a reference pulse width, and determine an amount of pulse elongation of the received light pulse. The LIDAR system may classify the surface as either an object to be avoided by a vehicle or as air particulates associated with the volumetric medium based, at least in part, on the determined amount of pulse elongation.

Abstract: An example circuit includes a plurality of light emitters connected in parallel between a first node and a second node. The circuit also includes a plurality of capacitors, with each capacitor corresponding to one of the light emitters, and a plurality of discharge-control switches, with each discharge-control switches corresponding to one of the capacitors. The circuit further includes a pulse-control switch connected to the plurality of light emitters. During a first period, the pulse-control switch restricts current flow, and each of the plurality of capacitors is charged via the first node. During a second period, one or more of the plurality of discharge-control switches allows current flow that discharges one or more corresponding capacitors. During a third period, the pulse-control switch allows current flow that discharges one or more undischarged capacitors of the plurality of capacitors through one or more corresponding light emitters.

Abstract: Aspects of the disclosure provide for automatically generating labels for sensor data. For instance, first sensor data, for a vehicle may be identified. This first sensor data may have been captured by a first sensor of the vehicle at a first location during a first point in time and may be associated with a first label for an object. Second sensor data for the vehicle may be identified. The second sensor data may have been captured by a second sensor of the vehicle at a second location at a second point in time outside of the first point in time. The second location is different from the first location. A determination may be made as to whether the object is a static object. Based on the determination that the object is a static object, the first label may be used to automatically generate a second label for the second sensor data.

Abstract: Example embodiments relate to pedestrian countdown signal classification to increase pedestrian behavior legibility. An example embodiment includes a method that includes obtaining, by a computing system of a vehicle, a camera image patch. The method further includes determining, by the computing system, using the camera image patch and a pedestrian countdown signal classifier model, a state of a pedestrian countdown signal. The method also includes determining, by the computing system based on the state of the pedestrian countdown signal, a prediction of whether a pedestrian will enter a crosswalk governed by the pedestrian countdown signal. And the method includes, based on the prediction, causing, by the computing system, the vehicle to perform an invitation action that invites a pedestrian to enter the crosswalk.

Abstract: Aspects of the present disclosure relate to a vehicle for maneuvering an occupant of the vehicle to a destination autonomously as well as providing information about the vehicle and the vehicle's environment for display to the occupant. The information includes a representation of a scene depicting an external environment of the vehicle. The representation of the scene includes a visual representation of the vehicle and a visual representation of objects in an external environment of the vehicle.