Abstract: The disclosure relates to determining whether an optical interferent is located on a sensor window and providing a way to identify and discard erroneous sensor data. An example system includes a housing, having a first sensor window and a second sensor window, a laser light source, and an optical sensor. The first window has a first property for deflecting water, and the second window has a second property for deflecting water different from the first property. The source is configured to generate a beam of light through the first window. One or more processors are configured to receive sensor data from the optical sensor and determine that an optical interferent is located on a surface of at least one of the first window and the sensor window based on a comparison between sensor data corresponding to the first window and sensor data corresponding to the second window.

Abstract: Aspects of the present disclosure relate generally to identifying and displaying traffic lanes that are available for autonomous driving. Information is displayed to a driver of a vehicle having an autonomous driving mode to inform the driver of where the autonomous driving mode can be used by visually distinguishing between lanes that are available for autodrive from those that are not, and when a lane is an autodrive lane the display includes information indicating how much further the vehicle may continue in the autonomous driving mode in that particular lane before requiring a particular maneuver to depart that lane in order to stay on a route. The display may also indicate the position of a lane (autodrive or not) currently occupied by the vehicle. The display may also display information indicating the remaining autodrive distance in other lanes as well as the lane with the greatest remaining autodrive distance.

Abstract: The disclosure provides a method for operating an autonomous vehicle. To operate the autonomous vehicle, a plurality of lane segments that are in an environment of the autonomous vehicle is determined and a first object and a second object in the environment are detected. A first position for the first object is determined in relation to the plurality of lane segments, and particular lane segments that are occluded by the first object are determined using the first position. According to the occluded lane segments, a reaction time is determined for the second object and a driving instruction for the autonomous vehicle is determined according to the reaction time. The autonomous vehicle is then operated based on the driving instruction.

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

Abstract: Example embodiments relate to measuring rotational speeds of trailer wheels using radar. A computing device may cause a vehicle radar unit to transmit radar signals toward a wheel of trailer being pulled by the vehicle. The computing device may receive radar reflections corresponding to radar signals that reflected off the wheel and determine a rotational speed of the wheel based on the radar reflections. For instance, the computing device may identify the highest or lowest frequency in the frequency spectrum of the radar reflections and use the frequency and the wheel's radius to calculate the rotational speed of the wheel. The computing device can use rotational speed measurements for trailer wheels to monitor performance of the trailer and adjust vehicle navigation accordingly. In some instances, the computing device may determine that one of the trailer wheels requires servicing based on monitoring the rotational speeds of the trailer wheels.

Abstract: A method includes identifying route data including a threshold arrival time for a route for an autonomous vehicle (AV) and calculating, based on the route data and a fuel-efficient speed value for each segment of the route, an estimated arrival time. Responsive to the estimated arrival time not meeting the threshold arrival time, the method includes identifying at least a subset of segments that each represent a candidate for speed increase, computing, for each segment in the subset and based on the fuel economy data, a correlation metric that indicates a correlation between a change in fuel economy and a change in speed for a corresponding segment in the subset, and increasing, for at least one segment from the subset and based on a respective correlation metric, a fuel-efficient speed value of the corresponding segment from the subset to provide a speed profile reflecting the increased fuel-efficient speed value.

Abstract: A radar system includes a split-block assembly unit comprising a first portion and second portion, where the first portion and the second portion form a seam. The radar system further includes a plurality of ports located on a bottom side of the second portion opposite the seam. Additionally, the radar system includes a plurality of radiating elements located on a top side of the first portion opposite the seam. The plurality of radiating elements is arranged in a plurality of arrays. The plurality of arrays includes a set of multiple-input multiple-output (MIMO) transmission arrays, a set of synthetic aperture radar (SAR) transmission arrays, and at least one reception array. Further, the radar system includes a set of waveguides configured to couple each array to a port.

Abstract: Aspects of the disclosure provide for the generation of a service area map for autonomous vehicles. For instance, graph nodes of a road network may be iterated through in order to identify a set of reachable graph nodes based on a set of routing parameters that define driving limits for the autonomous vehicles. The road network may include the graph nodes as well as edges connecting ones of the graph nodes. A set of S2 cells may be identified based on the set of reachable graph nodes. Vertices of each S2 cell of the set of S2 cells may be determined based on whether each S2 cell of the set of S2 cells is occupied by any of the graph nodes of the set of reachable graph nodes. Contours through cells may be drawn based on the scores. The service area map may be generated using the contours.

Abstract: Aspects of the disclosure relate to determining and responding to an internal state of a self-driving vehicle. For instance, an image of an interior of the vehicle captured by a camera mounted in the vehicle is received. The image is processed in order to identify one or more visible markers at predetermined locations within the vehicle. The internal state of the vehicle is determined based on the identified one or more visible markers. A responsive action is identified action using the determined internal state, and the vehicle is controlled in order to perform the responsive action.

Abstract: Systems and methods for performing operations based on LIDAR communications are described. An example device may include one or more processors and a memory coupled to the one or more processors. The memory includes instructions that, when executed by the one or more processors, cause the device to receive data associated with a modulated optical signal emitted by a transmitter of a first LIDAR device and received by a receiver of a second LIDAR device coupled to a vehicle and the device, generate a rendering of an environment of the vehicle based on information from one or more LIDAR devices coupled to the vehicle, and update the rendering based on the received data. Updating the rendering includes updating an object rendering of an object in the environment of the vehicle. The instructions further cause the device to provide the updated rendering for display on a display coupled to the vehicle.

Abstract: Described herein are methods and systems for protecting a light detection and ranging (LIDAR) device against external light that is originated at a light source other than a light source of the LIDAR device and that is being emitted towards the LIDAR device. In particular, the LIDAR device may be equipped with a mitigation system that includes an interference filter, an absorptive filter, an adaptive filter, and/or a spatial filter. Additionally or alternatively, the LIDAR device may be operated to carry out reactive and/or proactive mitigation operations. For example, the LIDAR device may be operated to vary over time characteristics with which light is being emitted and to only detect light having characteristics that match the characteristics with which light is being emitted. In another example, the LIDAR device may be operated to activate a shutter to block the external light from being detected by the LIDAR device.

Abstract: Example radar systems are presented herein. A radar system may include an input layer having a feed waveguide and a first portion of a first waveguide section. The antenna system also includes a first dividing layer having a second portion of the first waveguide section and a first portion of a second waveguide section. The antenna system also includes a second dividing layer having a second portion of the second waveguide section and a first portion of a third waveguide section. Additionally, the antenna system includes an antenna layer having a plurality of radiating elements arranged in a linear array and a second portion of the third waveguide section. The antenna system further includes a path length from the feed waveguide to each radiating element is the same as the path length for each other radiating element.

Abstract: The disclosure provides for a method of calibrating a detection system that is mounted on a vehicle. The method includes detecting characteristics of the mirror and characteristics of a vehicle portion using the detection system. The mirror reflects the vehicle portion to be detected using the detection system. The method also includes determining a first transform based on the detected one or more of mirror characteristics, determining a second transform based on the one or more vehicle portion characteristics, and determining a third transform based on a known position of the vehicle portion in relation to the vehicle. Further, the method includes determining a position of the detection system relative to the vehicle based on the first, second, and third transforms and then calibrating the detection system using the determined position of the detection system relative to the vehicle.

Abstract: Aspects of the technology relate to providing service area maps for an autonomous vehicle transportation service having a fleet of vehicles. For instance, each vehicle of the fleet is associated with a polygon corresponding to a service area for that vehicle. A first location may be received from a client computing device, and a set of vehicles of the fleet of vehicles that are currently available to provide transportation services may be identified based on the first location. The polygons associated with each of the set of vehicles may be used to determine a first polygon having a geographic area. A first portion of map information corresponding to the geographic area of the first polygon may be identified, and the first portion may be provided to the client computing device for display to a user such that the portion represents a currently available service area for the user.

Abstract: The technology involves evaluating components of an autonomous vehicle that can be meaningfully evaluated over a single operational iteration. One or more snapshots of single iteration scenarios can be tested quickly and efficiently, either on vehicle or via a back-end system. Each snapshot corresponds to a particular point in time when a given component runs. Each snapshot contains a serialized set of inputs necessary to evaluate the particular component. These inputs comprise the minimal amount of information needed to accurately and faithfully recreate what the component did or does. Each snapshot is triggered at the particular point in time based on one or more criteria associated with either a driving scenario or a component of the vehicle during autonomous driving. A serialized snapshot may be retrieved from storage and deserialized, so that the system may evaluate the state of the component at the particular point in time.

Abstract: The present disclosure relates to systems and methods that provide both an image of a scene and depth information for the scene. An example system includes at least one time-of-flight (ToF) sensor and an imaging sensor. The ToF sensor and the imaging sensor are configured to receive light from a scene. The system also includes at least one light source and a controller that carries out operations. The operations include causing the at least one light source to illuminate at least a portion of the scene with illumination light according to an illumination schedule. The operations also include causing the at least one ToF sensor to provide information indicative of a depth map of the scene based on the illumination light. The operations additionally include causing the imaging sensor to provide information indicative of an image of the scene based on the illumination light.

Abstract: Aspects of the disclosure relate to identifying and adjusting speed plans for controlling a vehicle in an autonomous driving mode. In one example, an initial speed plan for controlling speed of the vehicle for a first predetermined period of time corresponding to an amount of time along a route of the vehicle is identified. Data identifying an object and characteristics of that object is received from a perception system of the vehicle. A trajectory for the object that will intersect with the route at an intersection point at particular point in time is predicted using the data. A set of constraints is generated based on at least the trajectory. The speed plan is adjusted in order to satisfy the set of constraints for a second predetermined period of time corresponding to the amount of time. The vehicle is maneuvered in the autonomous driving mode according to the adjusted speed plan.

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: Aspects of the disclosure relate to controlling a vehicle in an autonomous driving mode where vehicle has a drive by wire braking system. For instance, while the vehicle is being controlled in the autonomous driving mode, a signal corresponding to input at a brake pedal of the drive by wire braking system may be received. An amount of braking may be determined based on the received signal. The amount of braking may be used to determine a trajectory for the vehicle to follow. The vehicle may be controlled in the autonomous driving mode using the trajectory.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data using spatio-temporal-interactive networks.