Abstract: The disclosure relates to testing software for operating an autonomous vehicle. For instance, a first simulation may be run using log data and the software to control a first simulated vehicle. During this, one or more characteristics of the simulated vehicle may be compared with one or more characteristics of a vehicle from the log data. The comparison may be used to determine a divergence point for starting a timer. In addition, a second simulation may be run using the log data and the software to control a second simulated vehicle. The divergence point may be used to determine a handover time to allow the software to take control of the second simulated vehicle. Whether the software is able to continue through the first simulation before the timer expires without a particular type of event occurring and/or the second simulation without the particular type of event occurring is determined.

Abstract: Aspects of the disclosure relate to reducing replacing a desiccant cartridge based upon a condensation risk. In one example, first information corresponding to a current dew point within a sensor housing of a sensor and second information identifying temperature data corresponding to a predefined area where the sensor is projected to travel may be received. Based upon the first and second information a condensation risk corresponding to the likelihood of condensation forming within the sensor housing in the event it traveled within the predefined area based upon the current dew point and the temperature data may be determined. Based upon the determined condensation risk, an indication that a desiccant cartridge within the sensor housing should be replaced to reduce the current dew point and the condensation risk may be provided.

Abstract: The technology relates to determining whether a camera is occluded. For instance, an image may be captured using a camera having red, green, and blue pixels each including a photosensor. Output values for the photosensors of each of the red pixels, green pixels, and blue pixels may be determined for the images. The output values of the green pixels may be compared to one or more of the output values of the red pixels or the output values of the blue pixels. That the camera is occluded is determined based on the comparison.

Abstract: One example system includes a light source that emits light. The system also includes a waveguide that guides the emitted light from a first side of the waveguide toward a second side of the waveguide opposite the first side. The waveguide has a third side extending between the first side and the second side. The system also includes a mirror that reflects the guided light toward the third side of the waveguide. At least a portion of the reflected light propagates out of the waveguide toward a scene. The system also includes a light detector, and a lens that focuses light from the scene toward the waveguide and the light detector.

Abstract: Aspects of the disclosure relate to providing sensor data on a display of a vehicle. For instance, data points generated by a lidar sensor may be received. The data points may be representative of one or more objects in an external environment of the vehicle. A scene including a representation of the vehicle from a perspective of a virtual camera, a first virtual object corresponding to at least one of the one or more objects, and a second virtual object corresponding to at least one object identified from pre-stored map information may be generated. Supplemental points corresponding to a surface of the at least one object identified from the pre-stored map information may be generated. A pulse including at least some of the data points generated by the sensor and the supplemental points may be generated. The scene may be displayed with the pulse on the display.

Abstract: Examples relating to vehicle velocity calculation using radar technology are described. An example method performed by a computing system may involve, while a vehicle is moving on a road, receiving, from two or more radar sensors mounted at different locations on the vehicle, radar data representative of an environment of the vehicle. The method may involve, based on the data, detecting at least one scatterer in the environment. The method may involve making a determination of a likelihood that the at least one scatterer is stationary with respect to the vehicle. The method may involve, based on the determination being that the likelihood is at least equal to a predefined confidence threshold, calculating a velocity of the vehicle based on the data from the sensors. The calculated velocity may include an angular and linear velocity. Further, the method may involve controlling the vehicle based on the calculated velocity.

Abstract: Systems, methods, devices, and other techniques for planning a trajectory of a vehicle. A computing system can implement a trajectory planning neural network configured to, at each time step of multiple time steps: obtain a first neural network input and a second neural network input. The first neural network input can characterize a set of waypoints indicated by the waypoint data, and the second neural network input can characterize (a) environmental data that represents a current state of an environment of the vehicle and (b) navigation data that represents a planned navigation route for the vehicle. The trajectory planning neural network may process the first neural network input and the second neural network input to generate a set of output scores, where each output score in the set of output scores corresponds to a different location of a set of possible locations in a vicinity of the vehicle.

Abstract: The present disclosure relates to systems and methods that facilitate active sensor systems. An example method includes receiving information indicative of an operating context of a vehicle, wherein at least one Light Detection and Ranging (LIDAR) sensor or at least one radar sensor are coupled to the vehicle. The method also includes selecting, from a plurality of sensor power configurations, a desired sensor power configuration based on the operating context of the vehicle. The method further includes causing at least one of: the at least one LIDAR sensor to emit light pulses according to the desired sensor power configuration or the at least one radar sensor to emit radar energy according to the desired sensor power configuration.

Abstract: Aspects of the present disclosure relate to a vehicle having one or more computing devices that may receive instructions to pick up a passenger at a location, determine when the vehicle is within a first distance of the location, provide a first notification that the vehicle is within the first distance, and stop the vehicle. When the vehicle is stopped, the computing device may initiate a countdown. When a client computing device associated with the passenger has not been authenticated, the computing devices may provide a second notification based on a first amount of time remaining in the countdown and a third notification indicating that the trip is cancelled based on a second amount of time remaining in the countdown less than the first amount of time. Once the third notification is provided, the computing devices move the vehicle from the where the vehicle is stopped without the passenger.

Abstract: Aspects of the disclosure relate to a method of managing a fleet of autonomous vehicles providing trip services. The method includes receiving information identifying an intermediate destination and a final destination for a trip. In this example, the intermediate destination is a destination where an autonomous vehicle will drop off and wait for a passenger in order to continue the trip, and the final destination is a destination where the trip ends. The method also includes determining an amount of waiting time the vehicle is likely to be waiting for the passenger at the intermediate destination, determining how a vehicle of the fleet of autonomous vehicles should spend the amount of waiting time, and sending an instruction to the vehicle, based on the determination of how the vehicle should spend the amount of waiting time.

Abstract: In one example, a device includes a first platform having a first side and a second platform having a second side that overlaps the first side. The device also includes an actuator that rotates the first platform relative to the second platform. The device also includes a plurality of light sources mounted to the first platform in a substantially circular arrangement around the axis of rotation of the first platform. The plurality of light sources emit a plurality of light beams such that respective adjacent light beams intersect at least at a predetermined distance to the first side. The first side remains at least at the predetermined distance to the second side in response to the actuator rotating the first platform. The device also includes a light detector mounted to the second platform and positioned to at least partially overlap at least one of the plurality of light beams.

Abstract: Aspects of the disclosure provide systems and methods for recognizing an assigned passenger. For instance, dispatching instructions to pick up a passenger at a pickup location are received. The instructions include authentication information for authenticating a client computing device associated with the passenger. A vehicle is maneuvered in an autonomous driving mode towards the pickup location. The client device is then authenticated. After authentication, a set of pedestrians within a predetermined distance of the vehicle are identified from sensor information generated by a sensor of the vehicle and location information is received over a period of time from the client device. The received location information is used to estimate a velocity of the passenger. This estimated velocity is used to identify a subset of set of pedestrians that is likely to be the passenger. The vehicle is stopped to allow the passenger to enter the vehicle based on the subset.

Abstract: A system and method include scanning a light detection and ranging (LIDAR) device through a range of orientations corresponding to a scanning zone while emitting light pulses from the LIDAR device. The method also includes receiving returning light pulses corresponding to the light pulses emitted from the LIDAR device and determining initial point cloud data based on time delays between emitting the light pulses and receiving the corresponding returning light pulses and the orientations of the LIDAR device. The initial point cloud data has an initial angular resolution. The method includes identifying, based on the initial point cloud data, a reflective feature in the scanning zone and determining an enhancement region and an enhanced angular resolution for a subsequent scan to provide a higher spatial resolution in at least a portion of subsequent point cloud data from the subsequent scan corresponding to the reflective feature.

Abstract: A composition that is easily applied, clear, well-bonded, and superhydrophobic is disclosed. In one aspect, the composition includes a hydrophobic fluorinated solvent, a binder comprising a hydrophobic fluorinated polymer, and hydrophobic fumed silica nanoparticles. Also disclosed is a structure including a substrate coated with the composition, as well as a method for making the composition and a method of coating a substrate with the composition.

Abstract: The technology relates to detecting possible imaging sensor occlusion. In one example, a system including an imaging sensor and one or more processors may be configured to capture first image data using the imaging sensor. The one or more processors may encode the first image data into an uncompressed image file and generate a compressed image file based on the uncompressed image file. The file size of the compressed image file may be determined and based on the file size of the compressed image file, the system may determine that the imaging sensor is possibly occluded.

Abstract: An example system includes a light detection and ranging (LIDAR) device that scans a field-of-view defined by a pointing direction of the LIDAR device. The system also includes an actuator that adjusts the pointing direction of the LIDAR device. The system also includes a communication interface that receives timing information from an external system. The system also includes a controller that causes the actuator to adjust the pointing direction of the LIDAR device based on at least the received timing information.