Abstract: Aspects of the disclosure relate to providing pickup or drop off locations for transport services. In one example relating to a pickup location, a preferred location is identified. A plurality of possible locations is determined based on the preferred location and a set of heuristics including identifying at least one point on an opposite side of a roadway as the preferred location. For each given possible location of the plurality of possible locations, a route between a current location of a vehicle and that given possible location is determined. For each given possible location of the plurality of possible locations a cost value for the determined route of that given possible location is determined. A possible location is selected based on the determined cost values and provided as a pickup or drop off location for a passenger or cargo.

Abstract: An antenna includes a plurality of waveguide antenna elements arranged in a first array configured to operate with a first polarization. The antenna also includes a plurality of waveguide output ports arranged in a second array configured to operate with a second polarization. The second polarization is different from the first polarization. The antenna further includes a polarization-rotating layer with channels defined therein. The polarization-rotating layer is disposed between the waveguide antenna elements and the waveguide output ports. The channels are oriented at a first angle with respect to the waveguide antenna elements and at a second angle with respect to the waveguide output ports. The channels are configured to receive input electromagnetic waves having the first polarization and transmit output electromagnetic waves having a first intermediate polarization.

Abstract: The technology relates to detecting a person directing traffic. For instance, a first vehicle may be controlled in an autonomous driving mode. Sensor data is received from a perception system of the first vehicle, the sensor data identifying a person. Behavior of the person is observed using the sensor data. The observed behavior of the person and the observed behavior of a second vehicle are used to determine a likelihood value indicative of whether the person is directing traffic. The first vehicle is maneuvered in the autonomous driving mode based on the determined likelihood value.

Abstract: Systems and methods described herein relate to the manufacture of optical elements and optical systems. An example method includes providing a first substrate that has a plurality of light-emitter devices disposed on a first surface. The method includes providing a second substrate that has a mounting surface defining a reference plane. The method includes forming a structure and an optical spacer on the mounting surface of the second substrate. The method additionally includes coupling the first and second substrates together such that the first surface of the first substrate faces the mounting surface of the second substrate at an angle with respect to the reference plane.

Abstract: The disclosure relates to smart signs or physical markers for facilitating passenger trips for autonomous vehicles. For instance, a physical marker remote from the autonomous vehicles may receive a first notification indicating a request for a trip has been made via a client computing device. The physical marker may determine when the client computing device has reached a physical marker, and in response to the determination, the physical marker may send a second notification to a dispatching server computing device indicating that the client computing device has reached a physical marker. Other aspects of the disclosure relate to various features and uses for the physical marker.

Abstract: The present disclosure relates to systems and circuits that may facilitate sub-5 nanosecond laser diode operation. An example system includes a trigger source, a laser diode, a first field effect transistor and a second field effect transistor. The laser diode is coupled to a supply voltage and a drain terminal of the first field effect transistor. A source terminal of the first field effect transistor is coupled to ground and a gate terminal of the first field effect transistor is coupled to the trigger source. A drain terminal of the second field effect transistor is coupled to the supply voltage. A source terminal of the second field effect transistor and a gate terminal of the second field effect transistor are coupled to ground. In an example embodiment, the first field effect transistor and the second field effect transistor comprise gallium nitride (GaN).

Abstract: The present application discloses embodiments that relate to an electromagnetic apparatus. In one aspect, the present apparatus includes a circuit board configured to propagate an electromagnetic signal, a waveguide configured to propagate an electromagnetic signal, and a coupling port configured to couple the electromagnetic signal between the circuit board and the waveguide. The apparatus further includes a radiating structure disposed on the circuit board. The radiating structure includes an electric field coupling component configured to an electric field between the circuit board and the coupling port and a magnetic field coupling component configured to couple a magnetic field between the circuit board and the coupling port.

Abstract: One example device includes a rotor platform that rotates about an axis of rotation. The device also includes a ring magnet mounted to the rotor platform to provide a rotor-platform magnetic field. The device also includes a stator platform that includes a planar mounting surface. The device also includes a plurality of conductive structures disposed along the planar mounting surface. The conductive structures remain within a predetermined distance to the ring magnet in response to rotation of the rotor platform about the axis of rotation. The conductive structures are electrically coupled to define an electrically conductive path that at least partially overlaps the ring magnet. The device also includes circuitry that causes an electrical current to flow through the conductive path. The electrical current generates a stator-platform magnetic field that interacts with the rotor-platform magnetic field such that the rotor platform rotates about the axis of rotation.

Abstract: A vehicle having a communication system is disclosed. The system includes two electrical couplings, coupled by way of a rotary joint. Each electrical coupling includes an interface waveguide configured to couple to external signals. Each electrical coupling also includes a waveguide section configured to propagate electromagnetic signals between the interface waveguide and the rotary joint. Additionally, the rotary joint is configured to allow one electrical coupling to rotate with respect to the other electrical coupling. An axis of rotation of the rotary joint is defined by a center of a portion of the waveguides. Yet further, the rotary joint allows electromagnetic energy to propagate between the waveguides of the electrical couplings.

Abstract: In one example, a LIDAR device includes a light sources that emits light and a transmit lens that directs the emitted light to illuminate a region of an environment with a field-of-view defined by the transmit lens. The LIDAR device also includes a receive lens that focuses at least a portion of incoming light propagating from the illuminated region of the environment along a predefined optical path. The LIDAR device also includes an array of light detectors positioned along the predefined optical path. The LIDAR device also includes an offset light detector positioned outside the predefined optical path. The LIDAR device also includes a controller that determines whether collected sensor data from the array of light detectors includes data associated with another light source different than the light source of the device based on output from the offset light detector.

Abstract: One example system comprises a LIDAR sensor that rotates about an axis to scan an environment of the LIDAR sensor. The system also comprises one or more cameras that detect external light originating from one or more external light sources. The one or more cameras together provide a plurality of rows of sensing elements. The rows of sensing elements are aligned with the axis of rotation of the LIDAR sensor. The system also comprises a controller that operates the one or more cameras to obtain a sequence of image pixel rows. A first image pixel row in the sequence is indicative of external light detected by a first row of sensing elements during a first exposure time period. A second image pixel row in the sequence is indicative of external light detected by a second row of sensing elements during a second exposure time period.

Abstract: Aspects of the disclosure relate to controlling a vehicle in an autonomous driving mode. For instance, a first location corresponding to a location where the vehicle is to pick up or drop off a passenger is received. A first cost for the vehicle to reach the first location is determined. A second location based on the first location is identified, and a second cost is determined based on a cost for the vehicle to reach the second location and a cost for the passenger to reach the second location. The first cost is compared to the second cost, and a notification is sent based on the notification. In response to sending the notification, instructions to proceed to the second location are received, and in response to receiving the instructions, the vehicle is controlled in the autonomous driving mode to the second location to pick up or drop off the passenger.

Abstract: Aspects of the present disclosure relate generally to systems and methods for assessing validity of a map using image data collected by a laser sensor along a vehicle path. The method may compile image data received from the laser sensor. The map subject to assessment may define an area prohibiting entry by a vehicle.

Abstract: Aspects of the present disclosure relate to a vehicle for maneuvering a passenger to a destination autonomously. The vehicle includes a computing system and a set of user input buttons for communicating requests to stop the vehicle and to initiate a trip to the destination with the computing system The vehicle has no steering wheel and no user inputs for the steering, acceleration, and deceleration of the vehicle other than the set of user input buttons. In order to safely test the vehicle, a removable manual control system may be used. The system may include a housing having an electronic connection to a computing system of the vehicle. The housing includes a steering input configured to allow a passenger to control the direction of the vehicle. The system also includes one or more computing devices configured to receive input from the steering input and send instructions the computing system.

Abstract: Aspects of the disclosure relate to controlling a transition between a manual driving mode and an autonomous driving mode of a vehicle. For instance, one or more processors of one or more control computing devices may control the vehicle in the autonomous driving mode. While controlling the vehicle in the autonomous driving mode and decelerating at a given rate, the processors may receive at a user input of the vehicle input requesting a transition from the autonomous driving mode to the manual driving mode. In response to the input, the processors may transition the vehicle to the manual driving mode. After transitioning the vehicle to the manual driving mode, the processors may send deceleration signals to a deceleration actuator thereby causing the vehicle to continue to decelerate at the given rate.

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: 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: 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.