Abstract: One variation of a method for dynamically querying a remote operator for assistance includes, at an autonomous vehicle: autonomously navigating along a roadway; at locations along the roadway, testing performance of a set of wireless networks; in response to degradation of the set of wireless networks, decreasing a sensitivity threshold for triggering remote operator events at the autonomous vehicle; in response to a condition at the autonomous vehicle exceeding the sensitivity threshold at a particular location along the roadway, triggering a remote operator event; during the remote operator event, transmitting sensor data to a remote computer system via a subset of wireless networks, in the set of wireless networks, based on performance of the set of wireless networks proximal the particular location; and executing a navigational command received from a remote operator via a wireless network in the set of wireless networks.

Abstract: One variation of a method for dynamically querying a remote operator for assistance includes, at an autonomous vehicle: autonomously navigating along a roadway; at locations along the roadway, testing performance of a set of wireless networks; in response to degradation of the set of wireless networks, decreasing a sensitivity threshold for triggering remote operator events at the autonomous vehicle; in response to a condition at the autonomous vehicle exceeding the sensitivity threshold at a particular location along the roadway, triggering a remote operator event; during the remote operator event, transmitting sensor data to a remote computer system via a subset of wireless networks, in the set of wireless networks, based on performance of the set of wireless networks proximal the particular location; and executing a navigational command received from a remote operator via a wireless network in the set of wireless networks.

Abstract: A method and apparatus for automated comparison of 3D images, such as specific shapes in images, for example, for detecting vascular changes and aneurysm growth. The method comprises an adaptive geodesic active contour (GAC) approach which can be performed in a single pass, or across multiple iterations. The method uniquely utilizes shape to identify targets in two 3D images so that images can be compared if there is any shape feature. A method is also described for iterative parameter image construction, which beneficially removes false positives. The technology is particularly well-suited for use in comparing geometric changes of aneurysms, tumors, thromboses, inflammations.

Abstract: A method and apparatus for automated comparison of 3D images, such as specific shapes in images, for example, for detecting vascular changes and aneurysm growth. The method comprises an adaptive geodesic active contour (GAC) approach which can be performed in a single pass, or across multiple iterations. The method uniquely utilizes shape to identify targets in two 3D images so that images can be compared if there is any shape feature. A method is also described for iterative parameter image construction, which beneficially removes false positives. The technology is particularly well-suited for use in comparing geometric changes of aneurysms, tumors, thromboses, inflammations.