Abstract: Techniques are described for estimating intentions of pedestrians and other road users in vicinity of a vehicle. In certain embodiments, the techniques comprise obtaining, by a computer system of a vehicle equipped with one or more sensors, a sequence of video frames corresponding to a scene external to the vehicle, detecting one or more vulnerable road users (VRUs) in the sequence of video frames, wherein the detecting comprises estimating pose of each of the detected one or more VRUs. The techniques further include generating a segmentation map of the scene using one or more of the video frames; estimating one or more intention probabilities using estimated pose of the one or more VRUs and the segmentation map, each intention probability corresponding to one of the detected one or more VRUs, and adjusting one or more automated driving actions based on the estimated one or more intention probabilities.

Abstract: Techniques are described for compressing image data for transmission to a computer system of a remote operator controlling a vehicle. A visual representation of a surrounding environment is generated from one or more images captured at the vehicle. One or more regions of interest in the visual representation are identified based at least on information received from the computer system of the remote operator, the information indicating a direction or area of focus of the remote operator. Regions of interest can be compressed to a lesser extent than regions located outside the regions of interest. The compressed visual representation is transmitted to the computer system for decompression and, ultimately, display on one or more display devices viewed by the remote operator.

Abstract: Techniques are described for estimating intentions of pedestrians and other road users in vicinity of a vehicle. In certain embodiments, the techniques comprise obtaining, by a computer system of a vehicle equipped with one or more sensors, a sequence of video frames corresponding to a scene external to the vehicle, detecting one or more vulnerable road users (VRUs) in the sequence of video frames, wherein the detecting comprises estimating pose of each of the detected one or more VRUs. The techniques further include generating a segmentation map of the scene using one or more of the video frames; estimating one or more intention probabilities using estimated pose of the one or more VRUs and the segmentation map, each intention probability corresponding to one of the detected one or more VRUs, and adjusting one or more automated driving actions based on the estimated one or more intention probabilities.

Abstract: Techniques are described for compressing image data for transmission to a computer system of a remote operator controlling a vehicle. A visual representation of a surrounding environment is generated from one or more images captured at the vehicle. One or more regions of interest in the visual representation are identified based at least on information received from the computer system of the remote operator, the information indicating a direction or area of focus of the remote operator. Regions of interest can be compressed to a lesser extent than regions located outside the regions of interest. The compressed visual representation is transmitted to the computer system for decompression and, ultimately, display on one or more display devices viewed by the remote operator.