Abstract: Example implementations relate to vehicle occupancy confirmation. An example implementation involves receiving, at a computing system from a camera positioned inside a vehicle, an image representing an occupancy within the vehicle. The implementation further involves, responsive to receiving the image, displaying the image on a display interface, and receiving an operator input confirming the occupancy meets a desired occupancy. The implementation additionally includes transmitting an occupancy confirmation from the computing system to the vehicle. In some instances, in response to receiving the occupancy confirmation, the vehicle executes an autonomous driving operation.

Abstract: Aspects of the disclosure relate to arranging a pick up and drop off locations between a driverless vehicle and a passenger. As an example, a method of doing so may include receiving a request for a vehicle from a client computing device, wherein the request identifies a first location. Pre-stored map information and the first location are used to identify a recommended point according to a set of heuristics. Each heuristic of the set of heuristics has a ranking such that the recommended point corresponds to a location that satisfies at least one of the heuristics having a first rank and such that no other location satisfies any other heuristic of the set of heuristics having a higher rank than the first rank. The pre-stored map information identifying a plurality of pre-determined locations for the vehicle to stop, and the recommended point is one of the plurality of pre-determined locations.

Abstract: The technology relates to controlling a vehicle in an autonomous driving mode. For example, sensor data identifying a plurality of objects may be received. Pairs of objects of the plurality of objects may be identified. For each identified pair of objects of the plurality of objects, a similarity value which indicates whether the objects of that identified pair of objects can be responded to by the vehicle as a group may be determined. The objects of one of the identified pairs of objects may be clustered together based on the similarity score. The vehicle may be controlled in the autonomous mode by responding to each object in the cluster in a same way.

Abstract: A light detection and ranging (LIDAR) device scans through a scanning zone while emitting light pulses and receives reflected signals corresponding to the light pulses. The LIDAR device scans the emitted light pulses through the scanning zone by reflecting the light pulses from an array of oscillating mirrors. The mirrors are operated by a set of electromagnets arranged to apply torque on the mirrors, and an orientation feedback system senses the orientations of the mirrors. Driving parameters for each mirror are determined based on information from the orientation feedback system. The driving parameters can be used to drive the mirrors in phase at an operating frequency despite variations in moments of inertia and resonant frequencies among the mirrors.

Abstract: The present disclosure relates to optical receiver systems. An example system includes a plurality of substrates disposed in an edge-to-edge array along a primary axis. Each respective substrate of the plurality of substrates includes a plurality of detector elements. Each detector element of the plurality of detector elements generates a respective detector signal in response to light received by the detector element. The plurality of detector elements is arranged with a detector pitch between adjacent detector elements of the plurality of detector elements. Each respective substrate of the plurality of substrates also includes a signal receiver circuit configured to receive the detector signals generated by the plurality of detector elements. The respective substrates of the plurality of substrates are disposed such that the detector pitch is maintained between adjacent detector elements on their respective substrates.

Abstract: A method may involve receiving one or more criteria for a waveguide array antenna. The waveguide array antenna includes a plurality of waveguides. The plurality of waveguides may include a plurality of radiation elements. The method may also involve determining a dataset configured to associate radiation characteristics of a given radiation element with given configuration parameters including a given resonance length a given rotation angle of the given radiation element. The method also involves generating configuration parameters for the plurality of radiation elements based on the dataset. The configuration parameters may cause the waveguide array antenna to be associated with the one or more criteria. The method may also involve providing a request for fabrication of the waveguide array antenna to have the plurality of radiation elements configured according to the configuration parameters.

Abstract: In an example method, a vehicle configured to operate in an autonomous mode could have a radar system used to aid in vehicle guidance. The method could include transmitting at least two signal pulses. The method further includes, for each transmitted signal pulse, receiving a reflection signal associated with reflection of the respective transmitted signal pulse. Each reflection signal may be received when the apparatus is in a different respective location. Additionally, the method includes processing the received reflection signals to determine target information relating to one or more targets in an environment of the vehicle. Also, the method includes correlating the target information with at least one object of a predetermined map of the environment of the vehicle to provide correlated target information. Yet further, the method includes storing the correlated target information for the at least one object in an electronic database.

Abstract: An inertial measurement unit (IMU) may be used to align a plurality of radar units coupled to a vehicle via a plurality of mounting structures. The IMU may be placed at a reference location and reference-location data may be captured. The IMU may be coupled to each of the mounting structures and, at each mounting structure, respective mounting-location inertial measurement data may be captured using the IMU. For each mounting structure, a measured roll angle, measured elevational angle, and measured azimuthal angle is determined based on at least the mounting-location inertial measurement obtained at the mounting structure and the reference inertial measurement. Further, for each mounting structure, offsets are determined for the measured roll angle, the measured elevational angle, and the measured azimuthal angle. One or more of the mounting structures and/or radar units are adjusted based on one or more of the offsets.

Abstract: Aspects of the present disclosure relate to protecting the privacy of a user of a dispatching service for driverless vehicles. For example, a request for a vehicle identifying user information is received. A client computing device may be identified based on the user information. In response to the request, a driverless vehicle may be dispatched to the location of the client device. Signaling information may be generated based on a set of rules including a first rule that the signaling information does not identify, indirectly or directly, the user as well as a second rule that the signaling information does not identify, indirectly or directly, the user information. The location of the client computing device and the signaling information may be sent to the driverless vehicle for display. In addition, the signaling information may also be sent to the client computing device for display.

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: Described herein is a LIDAR device that may include a transmitter, first and second receivers, and a rotating platform. The transmitter may be configured to emit light having a vertical beam width. The first receiver may be configured to detect light at a first resolution while scanning the environment with a first FOV and the second receiver may be configured to detect light at a second resolution while scanning the environment with a second FOV. In this arrangement, the first resolution may be higher than the second resolution, the first FOV may be at least partially different from the second FOV, and the vertical beam width may encompass at least a vertical extent of the first and second FOVs. Further, the rotating platform may be configured to rotate about an axis such that the transmitter and first and second receivers each move based on the rotation.

Abstract: Methods and systems disclosed herein relate to determining a projected change in bandwidth demand in a specified area during a specified future time period, repositioning one or more balloons in a high-altitude balloon network based on the projected change in bandwidth demand, and providing, using the one or more balloons, at least a portion of the bandwidth demanded in the specified area during the specified future time period.

Abstract: Aspects of the disclosure relate to determining whether a vehicle should continue through an intersection. For example, the one or more of the vehicle's computers may identify a time when the traffic signal light will turn from yellow to red. The one or more computers may also estimate a location of a vehicle at the time when the traffic signal light will turn from yellow to red. A starting point of the intersection may be identified. Based on whether the estimated location of the vehicle is at least a threshold distance past the starting point at the time when the traffic signal light will turn from yellow to red, the computers can determine whether the vehicle should continue through the intersection.

Abstract: The present radio system transmits an electromagnetic signal to nearby devices requesting the device respond. The radio system also receives responses to the electromagnetic signal from the nearby devices. Based on the radio technology used, the signaling of the transmitted electromagnetic signal may be varied. For example, the transmitted electromagnetic signal may be a Bluetooth, 802.11, or other radio signal. A device that received the signal from the radio unit may transmit a response signal with the same radio technology. However, in some instances, the radio technology used for communication may operate on several radio (e.g., frequency) channels. Both the transmitter and receiver must operate on the same channel at the same time in order to communicate. Thus, it may be desirable to transmit the electromagnetic signal on more than one channel at the same time, in order to increase the chances that a nearby device responds.