Abstract: Described are techniques for generating, updating, and using sensor-based navigational maps. An input map is generated based on sensor data captured by a first sensor of a first vehicle. The input map is filtered based on one or more criteria to generate a filtered map corresponding to a three-dimensional representation of a route traveled by the first vehicle. The filtering can be based on detecting features using sensor data captured by a second sensor of the first vehicle. The one or more criteria can include object classes, distance criteria, and/or other criteria relating to attributes of features in the sensor data captured by the first sensor and/or the sensor data captured by the second sensor. The filtered map can be stored for transmission to a second vehicle, for use in determining a location of the second vehicle while the second vehicle is traveling along the same route.

Abstract: Described are techniques for generating, updating, and using sensor-based navigational maps. An input map is generated based on sensor data captured by a first sensor of a first vehicle. The input map is filtered based on one or more criteria to generate a filtered map corresponding to a three-dimensional representation of a route traveled by the first vehicle. The filtering can be based on detecting features using sensor data captured by a second sensor of the first vehicle. The one or more criteria can include object classes, distance criteria, and/or other criteria relating to attributes of features in the sensor data captured by the first sensor and/or the sensor data captured by the second sensor. The filtered map can be stored for transmission to a second vehicle, for use in determining a location of the second vehicle while the second vehicle is traveling along the same route.

Abstract: Methods, systems, computer-readable media, and apparatuses for blended control of remote operation of vehicles are presented. The sensors of automated vehicles can detect conditions for which there is no preprogrammed response. In these situations, automated vehicles can engage a remote operator mode. Remote operation of vehicles can be difficult. These techniques can use the automated driving system of the vehicle to monitor the driving commands from a remote operator and the sensor information of the vehicle. The commands from the remote operator can be analyzed by a supervision module in the automated vehicle. The supervision module can also receive vehicle sensor information. The supervision module can correct or adjust the remote operator commands as necessary to avoid collision, dampen remote operator induced oscillations, and provide for a smoother, safer, and more realistic driving experience.

Abstract: Methods, systems, computer-readable media, and apparatuses for blended control of remote operation of vehicles are presented. The sensors of automated vehicles can detect conditions for which there is no preprogrammed response. In these situations, automated vehicles can engage a remote operator mode. Remote operation of vehicles can be difficult. These techniques can use the automated driving system of the vehicle to monitor the driving commands from a remote operator and the sensor information of the vehicle. The commands from the remote operator can be analyzed by a supervision module in the automated vehicle. The supervision module can also receive vehicle sensor information. The supervision module can correct or adjust the remote operator commands as necessary to avoid collision, dampen remote operator induced oscillations, and provide for a smoother, safer, and more realistic driving experience.