Abstract: An example method may involve forming, in a first metal layer, a first half of waveguide channels including an input waveguide channel, a plurality of wave-dividing channels, and a plurality of wave-radiating channels. The input waveguide channel may include an input port for receiving electromagnetic waves into the waveguide channels, and the first half of the plurality of wave-radiating channels may include wave-directing members configured to propagate sub-portions of waves from the first metal layer to another metal layer. The method may also involve forming, in a second metal layer, a second half of the waveguide channels. The second half of the wave-radiating channels may include pairs of output ports configured to radiate the sub-portions of waves out of the second metal layer. The method may further involve fastening the first metal layer to the second metal layer so as to substantially align the halves of the waveguide channels.

Abstract: A method is provided that includes a vehicle receiving data from an external computing device indicative of at least one other vehicle in an environment of the vehicle. The vehicle may include a sensor configured to detect the environment of the vehicle. The at least one other vehicle may include at least one sensor. The method also includes determining a likelihood of interference between the at least one sensor of the at least one other vehicle the sensor of the vehicle. The method also includes initiating an adjustment of the sensor to reduce the likelihood of interference between the sensor of the vehicle and the at least one sensor of the at least one other vehicle responsive to the determination.

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: Embodiments of a system and method for tracking objects are described herein. Aspects of this disclosure efficiently update object “belief” data by creating a bitmap representation of object locations and velocities. The bitmap provides a three-dimensional representation of the object as viewed by one or more sensors. The bitmap representations are blended with sensor data over time to determine a current object belief state which can accurately account for asynchronous sensor data. Peaks in the belief data, which may be represented by pixels with an intensity value above a threshold value, are identified as likely objects. Additional sensor data is used to detect longitudinal velocities located at one or more of the peaks.

Abstract: An elongated member is provided with one or more imaging sensors, location sensors, and a switch in its bottom end. For example, in an embodiment the elongated member may be a walking stick and the one or more imaging sensors may be one or more cameras Such a walking stick takes pictures of its surrounding environment and keeps records of its location when the switch touches the ground, so that the pictures and location information can be used to create a virtual simulation of the area that a user of the walking stick has walked through.

Abstract: An image display system and method that use physical models to produce a realistic display of a scene are disclosed. The image display method involves operating a computer having a display screen, a memory and a processing unit for simulating the motion of objects and displaying the results on the display screen.

Abstract: An image display system and method that use physical models to produce a realistic display of a scene are disclosed. The image display method involves operating a computer having a display screen, a memory and a processing unit for simulating the motion of objects and displaying the results on the display screen.