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: An autonomous vehicle may access portions of a map to maneuver a roadway. The map may be split into one or more levels that represent different regions in space. For example, an overpass may be represented by one level while the road below the overpass may be on a separate level. A vehicle traveling on a particular level may use map data that is associated with that level. Furthermore, if the vehicle travels through a warp zone, it may transition from the current level to a destination level and thus begin to use map data associated with the destination level.

Abstract: A method and apparatus are provided for optimizing one or more object detection parameters used by an autonomous vehicle to detect objects in images. The autonomous vehicle may capture the images using one or more sensors. The autonomous vehicle may then determine object labels and their corresponding object label parameters for the detected objects. The captured images and the object label parameters may be communicated to an object identification server. The object identification server may request that one or more reviewers identify objects in the captured images. The object identification server may then compare the identification of objects by reviewers with the identification of objects by the autonomous vehicle. Depending on the results of the comparison, the object identification server may recommend or perform the optimization of one or more of the object detection parameters.

Abstract: An autonomous vehicle is configured to detect an active turn signal indicator on another vehicle. An image-capture device of the autonomous vehicle captures an image of a field of view of the autonomous vehicle. The autonomous vehicle captures the image with a short exposure to emphasize objects having brightness above a threshold. Additionally, a bounding area for a second vehicle located within the image is determined. The autonomous vehicle identifies a group of pixels within the bounding area based on a first color of the group of pixels. The autonomous vehicle also calculates an oscillation of an intensity of the group of pixels. Based on the oscillation of the intensity, the autonomous vehicle determines a likelihood that the second vehicle has a first active turn signal. Additionally, the autonomous vehicle is controlled based at least on the likelihood that the second vehicle has a first active turn signal.

Abstract: The present disclosure is directed to an autonomous vehicle having a vehicle control system. The vehicle control system includes an image processing system. The image processing system receives an image that includes a plurality of image portions. The image processing system also calculates a score for each image portion. The score indicates a level of confidence that a given image portion represents an illuminated component of a traffic light. The image processing system further identifies one or more candidate portions from among the plurality of image portions. Additionally, the image processing system determines that a particular candidate portion represents an illuminated component of a traffic light using a classifier. Further, the image processing system provides instructions to control the autonomous vehicle based on the particular candidate portion representing an illuminated component of a traffic light.

Abstract: An autonomous vehicle detects a tailgating vehicle and uses various response mechanisms. A vehicle is identified as a tailgater based on whether its characteristics meet a variable threshold. When the autonomous vehicle is traveling at slower speeds, the threshold is defined in distance. When the autonomous vehicle is traveling at faster speeds, the threshold is defined in time. The autonomous vehicle responds to the tailgater by modifying its driving behavior. In one example, the autonomous vehicle adjusts a headway buffer (defined in time) from another vehicle in front of the autonomous vehicle. In this regard, if the tailgater is T seconds too close to the autonomous vehicle, the autonomous vehicle increases the headway buffer to the vehicle in front of it by some amount relative to T.

Abstract: A rotatable LIDAR device including contactless electrical couplings is disclosed. An example rotatable LIDAR device includes a vehicle electrical coupling including (i) a first conductive ring, (ii) a second conductive ring, and (iii) a first coil. The example rotatable LIDAR device further includes a LIDAR electrical coupling including (i) a third conductive ring, (ii) a fourth conductive ring, and (iii) a second coil. The example rotatable LIDAR device still further includes a rotatable LIDAR electrically coupled to the LIDAR electrical coupling. The first conductive ring and the third conductive ring form a first capacitor configured to transmit communications to the rotatable LIDAR, the second conductive ring and the fourth conductive ring form a second capacitor configured to transmit communications from the rotatable LIDAR, and the first coil and the second coil form a transformer configured to provide power to the rotatable LIDAR.

Abstract: Systems and methods are described that relate to a light detection and ranging (LIDAR) device. The LIDAR device includes a fiber laser configured to emit light within a wavelength range, a scanning portion configured to direct the emitted light in a reciprocating manner about a first axis, and a plurality of detectors configured to sense light within the wavelength range. The device additionally includes a controller configured to receive target information, which may be indicative of an object, a position, a location, or an angle range. In response to receiving the target information, the controller may cause the rotational mount to rotate so as to adjust a pointing direction of the LIDAR. The controller is further configured to cause the LIDAR to scan a field-of-view (FOV) of the environment. The controller may determine a three-dimensional (3D) representation of the environment based on data from scanning the FOV.

Abstract: The technology relates to assisting in the closing of a vehicle door by automatically pulling a door closed. One or more computing devices having one or more processors may receive, from one or more sensors, information indicating that a door on the vehicle is not closed. In response to the received information indicating that the door is not closed, the one or more computing devices may determine to send a triggering signal to close the door. The one or more computing devices may send the triggering signal to the actuator and the actuator may receive the triggering signal. In response to receiving the triggering signal the actuator may be activated to close the door of the vehicle without user input.

Abstract: The present application discloses a dual open-ended waveguide (DOEWG) antenna apparatus. The apparatus may include a plurality of radiating elements configured to radiate electromagnetic energy. Each radiating element may have an associated amplitude and phase. The apparatus may further include a waveguide configured to propagate an electromagnetic signal from a waveguide feed to the radiating elements. The radiating elements are arranged in a plurality of doublets. Each doublet includes at least two radiating elements and is coupled to the waveguide via a respective doublet neck. At least one doublet in the plurality of doublets is coupled to the waveguide via a doublet neck that has a first height proximate a first radiating element in the at least one doublet and a second height proximate a second radiating element in the at least one doublet in which the first height is different from the second height.

Abstract: Methods and devices for using a relationship between activities of different traffic signals in a network to improve traffic signal state estimation are disclosed. An example method includes determining that a vehicle is approaching an upcoming traffic signal. The method may further include determining a state of one or more traffic signals other than the upcoming traffic signal. Additionally, the method may also include determining an estimate of a state of the upcoming traffic signal based on a relationship between the state of the one or more traffic signals other than the upcoming traffic signal and the state of the upcoming traffic signal.

Abstract: Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

Abstract: Aspects of the disclosure relate to providing audible indications to objects located externally to a vehicle having an autonomous driving mode. For instance, a vehicle is controlled in the autonomous driving mode along a particular path. Information identifying a characteristic and a location of an object is received. When vehicle is determined to be prevented from proceeding along the particular path because of the location of the object, a scenario is identified using the characteristic. The scenario is associated with a predetermined period of time and a type of audible indication used to identify an audible indication. After the waiting the predetermined period, when the object is determined to still be preventing the vehicle from proceeding along the particular path, the audible indication is played through a speaker of the vehicle to encourage the object to take an action to allow the vehicle to proceed along the particular path.

Abstract: A vehicle is provided that includes one or more wheels positioned at a bottom side of the vehicle. The vehicle also includes a first light detection and ranging device (LIDAR) positioned at a top side of the vehicle opposite to the bottom side. The first LIDAR is configured to scan an environment around the vehicle based on rotation of the first LIDAR about an axis. The first LIDAR has a first resolution. The vehicle also includes a second LIDAR configured to scan a field-of-view of the environment that extends away from the vehicle along a viewing direction of the second LIDAR. The second LIDAR has a second resolution. The vehicle also includes a controller configured to operate the vehicle based on the scans of the environment by the first LIDAR and the second LIDAR.

Abstract: Disclosed herein are systems and methods for providing supplemental identification abilities to an autonomous vehicle system. The sensor unit of the vehicle may be configured to receive data indicating an environment of the vehicle, while the control system may be configured to operate the vehicle. The vehicle may also include a processing unit configured to analyze the data indicating the environment to determine at least one object having a detection confidence below a threshold. Based on the at least one object having a detection confidence below a threshold, the processor may communicate at least a subset of the data indicating the environment for further processing. The vehicle is also configured to receive an indication of an object confirmation of the subset of the data. Based on the object confirmation of the subset of the data, the processor may alter the control of the vehicle by the control system.

Abstract: Aspects of the disclosure involve a collision mitigated braking system employed in vehicles operating in a self-driving (autonomous) mode. Collision mitigated braking provides redundancy to the vehicle's main driving system in emergency situations. The collision mitigated braking system is configured to cause the vehicle to come to a stop when an imminent collision is perceived and the main driving system has not initiated a braking maneuver. A perception component employs information received from vehicle sensors, analyzing the sensor data to identify nearby objects of interest that are determined to be in the vehicle's path or that could otherwise collide with the vehicle. A control component evaluates the objects of interest to determine whether immediate braking is required. If this is the case and the main driving system has not begun to brake, the control component causes the vehicle to perform immediate braking to avoid a possible collision.

Abstract: A system includes a dome, a wiper assembly, a position sensor and a control device. The wiper assembly includes a wiper blade configured to rotate around the dome. The position sensor may be configured to send a signal to a control device when a wiper blade passes the position sensor. The control device may include one or more processors configured to receive the signal from the position sensor and determine a location of the wiper blade relative to the dome based on the received signal.

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.

Abstract: The present disclosure is directed to an autonomous vehicle having a vehicle control system. The vehicle control system includes a vehicle detection system. The vehicle detection system includes receiving an image of a field of view of the vehicle and identifying a region-pair in the image with a sliding-window filter. The region-pair is made up of a first region and a second region. Each region is determined based on a color of pixels within the sliding-window filter. The vehicle detection system also determines a potential second vehicle in the image based on the region-pair. In response to determining the potential second vehicle in the image, the vehicle detection system performs a multi-stage classification of the image to determine whether the second vehicle is present in the image. Additionally, the vehicle detection system provides instructions to control the first vehicle based at least on the determined second vehicle.