Abstract: Aspects of the disclosure relate to testing situational awareness of a test driver tasked with monitoring the driving of a vehicle operating in an autonomous driving mode. For instance, a signal that indicates that the test driver may be distracted may be identified. Based on the signal, that a question can be asked of the test driver may be determined. A plurality of factors relating to a driving context for the vehicle may be identified. Based on the determination, a question may be generated based on the plurality of factors. The question may be provided to the test driver. Input may be received from the test driver providing an answer to the question.

Abstract: A light detection and ranging (LIDAR) device includes a light emitter configured to emit light pulses into a field of view and a detector configured to detect light in the field of view. The light emitter emits a first light pulse. The detector detects, during a first measurement period, at least one reflected light pulse that is indicative of reflection by a retroreflector based on a shape of a reflected light pulse, a magnitude of a reflected light pulse, and/or a time separation between two reflected light pulses. In response to detecting the at least one reflected light pulse indicative of reflection by a retroreflector, the light emitter is deactivated for one or more subsequent measurement periods. Additionally, the LIDAR device may inform one or more other LIDAR devices by transmitting to a computing device information indicative of the retroreflector being within the field of view of the light emitter.

Abstract: One example system comprises a plurality of substrates disposed in an overlapping arrangement. The plurality of substrates includes at least a first substrate and a second substrate. The system also comprises a first waveguide disposed on the first substrate to define a first optical path on the first substrate. The first waveguide is configured to guide light along the first optical path and to transmit, at an output section of the first waveguide, the light out of the first waveguide toward the second substrate. The system also comprises a second waveguide disposed on the second substrate to define a second optical path on the second substrate. An input section of the second waveguide is aligned with the output section of the first waveguide to receive the light transmitted by the first waveguide. The second waveguide is configured to guide the light along the second optical path.

Abstract: Example embodiments described herein involve reducing the formation of ice on external modules by incorporating a heater within the module. The system may include a microphone module for an autonomous vehicle. The microphone module may include a housing and a microphone inside an opening of the housing. The system may further include a cover abutting the opening of the housing. The cover may enclose the microphone within the housing and seal the opening of the housing. The system may also include a heater adjacent to the opening of the housing and configured to prevent ice from forming over the opening. The heater may at least partially surround the opening.

Abstract: The disclosure provides for a system that includes a seat mounted in a vehicle. The seat includes a base, a back support, a hinge, and a seat belt integrated into the seat. The back support is capable of rotating relative to the base and thereby reclining. The hinge is between the base and the back support and is configured to lock the back support in positions in relation to the base. The seat belt has a shoulder portion and a lap portion and is attached to the seat at a shoulder anchor in the back support and a base anchor in the base. When a generated torque, created from a forward force applied by the shoulder portion of the seat belt, exceeds a threshold amount of torque, the hinge is configured to unlock and back support is configured to rotate forward from a reclined position towards an upright position.

Abstract: A system is provided that includes an image sensor coupled to a vehicle, and control circuitry configured to perform operations including receiving, from the image sensor, an input stream comprising high dynamic range (HDR) image data associated with an environment of the vehicle, and processing the input stream at the vehicle by applying a global tone mapping, followed by offline image processing that can include applying a local tone mapping to the globally tone mapped images of the same input stream.

Abstract: Methods and systems for the use of detected objects for image processing are described. A computing device autonomously controlling a vehicle may receive images of the environment surrounding the vehicle from an image-capture device coupled to the vehicle. In order to process the images, the computing device may receive information indicating characteristics of objects in the images from one or more sources coupled to the vehicle. Examples of sources may include RADAR, LIDAR, a map, sensors, a global positioning system (GPS), or other cameras. The computing device may use the information indicating characteristics of the objects to process received images, including determining the approximate locations of objects within the images. Further, while processing the image, the computing device may use information from sources to determine portions of the image to focus upon that may allow the computing device to determine a control strategy based on portions of the image.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing a backward looking surprise metric for autonomously driven vehicles. One of the methods includes obtaining first data representing one or more previously predicted states of an agent along one or more predicted trajectories of the agent at a first time step. Second data representing one or more states of the agent at a subsequent time step is obtained. A surprise score is computed from a measure of a difference between the first data computed for the one or more predicted trajectories for the prior time step and the second data computed for the one or more predicted states for the subsequent time step.

Abstract: Aspects and implementations of the present disclosure relate to performance and safety improvements for autonomous trucking systems, such as reactive suspensions for maximizing aerodynamic performance and minimizing mechanical impact from road imperfections, automated placement of emergency signaling devices, and techniques of enhanced illumination of stopped and stranded vehicles.

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: 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: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using traffic light viewsheds. One of the methods includes obtaining, by an on-board computer system of vehicle, viewshed data comprising a plurality of viewsheds for a plurality of respective traffic lights. An indication of a candidate driving plan that uses input from a traffic light detection of a particular traffic light having a viewshed is received. If a current location of the vehicle is within the particular viewshed for the particular traffic light, execution of the candidate driving plan is conditioned based on whether the current location of the vehicle is within the particular viewshed for the particular traffic light.

Abstract: A system and method are provided for early detection of objects by a perception system of a vehicle, and triggering a precautionary action by the vehicle in response without waiting for a more precise detection. The vehicle has a multi-level sensor range, wherein a first level of the sensor range is adjacent an outer bounds of the sensor range and has a first confidence value, and a second level of the sensor range is within the first range and has a second, higher confidence value. In situations when oncoming traffic is traveling at a high rate of speed, the vehicle responds to noisier detections, or objects perceived with a lower degree of confidence, rather than waiting for verification which may come too late.

Abstract: The technology relates to identifying and addressing aberrant driver behavior. Various driving operations may be evaluated over different time scales and driving distances. The system can detect driving errors and suboptimal maneuvering, which are evaluated by an onboard driver assistance system and compared against a model of expected driver behavior. The result of this comparison can be used to alert the driver or take immediate corrective driving action. It may also be used for real-time or offline training or sensor calibration purposes. The behavior model may be driver-specific, or may be a nominal driver model based on aggregated information from many drivers. These approaches can be employed with drivers of passenger vehicles, busses, cargo trucks and other vehicles.

Abstract: Aspects of the disclosure relate to enabling playing of content at an autonomous vehicle. For example, a request to transport a user on a trip may be received. The autonomous vehicle may be assigned to the trip. Whether the user has enabled a content feature may be determined. In response to determining that the user has enabled the content feature a request for a device identifier is sent to the autonomous vehicle. The device identifier generated at the autonomous vehicle is received. The received device identifier may be sent to a content-enabling computing system including one or more processors in order to enable the user to play content from the client computing device at the autonomous vehicle during the trip.

Abstract: A method of updating a clock associated with an autonomous vehicle includes determining, at a processor, a sensor-based position of the autonomous vehicle. The sensor-based position is determined based on data from one or more sensors and based on a digital map accessible to the processor. The method also includes determining, at the processor, a global positioning system (GPS) computed position of the autonomous vehicle and a GPS time. The GPS computed position and the GPS time are determined based on a plurality of GPS signals received from GPS satellites. The method further includes comparing the sensor-based position to the GPS computed position to determine whether the sensor-based position is within a threshold distance from the GPS computed position. The method also includes updating the clock associated with the autonomous vehicle based on the GPS time in response to a determination that the sensor-based position is within the threshold distance from the GPS computed position.

Abstract: Examples relate to near-field radar filters that can enhance measurements near a radar unit. An example may involve receiving a first set of radar reflection signals at a radar unit coupled to a vehicle and determining a filter configured to offset near-field effects of radar reflection signals received at the radar unit. In some instances, the filter depends on an azimuth angle and a distance for surfaces in the environment causing the first set of radar reflection signals. The example may also involve receiving, at the radar unit, a second set of radar reflection signals and determining, using the filter, an azimuth angle and a distance for surfaces in the environment causing the second set of radar reflection signals. The vehicle may be controlled based in part on the azimuth angle and the distance for the surfaces causing the second plurality of radar reflection signals.

Abstract: Aspects of the disclosure relate to vehicles capable of autonomous driving. These vehicles may include seats for accommodating different numbers of passengers. In some cases, the seats may be reconfigurable. For instance, a vehicle may include a first row of seating having a first, passenger use configuration. The first row may allow a passenger to sit in a seat of the first row of seating and access user input controls for the vehicle. The first row of seating may also have a second, folded configuration where the first row is in a folded configuration and no longer usable for passenger seating. The vehicle may also have a second row of seating. When the first row of seating is in the second, folded configuration, the second row of seating may still be usable for seating and may include additional legroom for the passenger as compared to when the first row of seating is in the first passenger use configuration.