Abstract: Determining a speed plan for an autonomous vehicle (AV) is disclosed. Planned locations of the AV for future time steps are placed in an occupancy grid. The planned locations are based on a strategic speed plan that is determined without taking world objects into account. Predicted locations of the world objects for at least some of the future time steps are placed in the occupancy grid. Respective buffer distances corresponding to the predicted locations are added in the occupancy grid. An estimated speed plan is identified for the AV based on the occupancy grid. The speed plan is obtained from the estimated speed plan. The AV is then controlled according to the speed plan.

Abstract: At least one virtual road user is generated, wherein a position of a respective virtual road user of the at least one virtual road user corresponds to a border of a range of a sensor of a host vehicle approaching an intersection of a vehicle transportation network. A most relevant virtual road user of the at least one virtual road user is determined, the most relevant virtual road user being associated with an earliest crossing lane of the intersection from a perspective of the host vehicle. A time to contact for the most relevant virtual road user is determined, wherein the time to contact is based on an acceleration of the host vehicle, a predicted trajectory of the most relevant virtual road user, and a relative distance between the host vehicle and the most relevant virtual road user. A target speed for the host vehicle is determined based on the time to contact and the relative distance. The host vehicle is operated using the target speed as input to a control system of the host vehicle.

Abstract: Determining a speed plan for an autonomous vehicle (AV) is disclosed. A path of the AV in a lane of a road is predicted. A path of an other road user (ORU) vehicle in the lane of the road is also predicted. An interaction time between the AV and the ORU vehicle is determined. A classification of the ORU vehicle is determined based on the interaction time and the predicted path of the AV. A speed of the AV is established based on the classification of the ORU vehicle.

Abstract: An evidence grid is established in a map frame based on the vehicle's pose. Hazard data is accumulated in the evidence grid by gathering visible grid cells, each associated with a visibility probability indicating a history of visibility determinations, and accumulating hazard presence, with each grid cell linked to a hazard associated with a hazard presence probability indicating a history of hazard presence determinations. The accumulated hazard data is then provided to a process within the autonomous vehicle for further decision-making or risk mitigation.

Abstract: Improved erase techniques enhance longevity of two-terminal non-volatile memory and can mitigate or avoid erase state memory failures. An erase process can include performing an erase operation(s) on a two-terminal memory cell, followed by a weak program operation. An erase-verify process can determine whether the memory cell has a read current within a target range. In one or more embodiments, additional erase and weak program cycles can be implemented to initiate a weakly programmed state that can be defined as an erase state. The weakly programmed state can be configured so that drift or diffusion over time results in higher resistance not reversion to a low resistance state, to mitigate or avoid erase failure of the two-terminal memory cell.

Abstract: At least one virtual road user is generated, wherein a position of a respective virtual road user of the at least one virtual road user corresponds to a border of a range of a sensor of a host vehicle approaching an intersection of a vehicle transportation network. A most relevant virtual road user of the at least one virtual road user is determined, the most relevant virtual road user being associated with an earliest crossing lane of the intersection from a perspective of the host vehicle. A time to contact for the most relevant virtual road user is determined, wherein the time to contact is based on an acceleration of the host vehicle, a predicted trajectory of the most relevant virtual road user, and a relative distance between the host vehicle and the most relevant virtual road user. A target speed for the host vehicle is determined based on the time to contact and the relative distance. The host vehicle is operated using the target speed as input to a control system of the host vehicle.

Abstract: Determining a speed plan for an autonomous vehicle (AV) is disclosed. Planned locations of the AV for future time steps are placed in an occupancy grid. The planned locations are based on a strategic speed plan that is determined without taking world objects into account. Predicted locations of the world objects for at least some of the future time steps are placed in the occupancy grid. Respective buffer distances corresponding to the predicted locations are added in the occupancy grid. An estimated speed plan is identified for the AV based on the occupancy grid. The speed plan is obtained from the estimated speed plan. The AV is then controlled according to the speed plan.

Abstract: Techniques for using native and/or previously programmed resistive switching devices as one time programmable memory are discussed. On example method comprises allocating a set of resistive switching devices to be one time programmable memory; determining data to be stored in the set of resistive switching devices; for each resistive switching device of the set of resistive switching devices, assigning one of a first digital value or a second digital value to that resistive switching device, based on the data; and for each resistive switching device assigned the first digital value, permanently programming that resistive switching device via reverse formation.

Abstract: The invention provides a method for measuring the magnetic field of an electromagnetic component having the steps of: instrumenting one or more portions of an electromagnetic component by placing an optical fiber in electromagnetic communication with the one or more portions of said electromagnetic component; energizing the electromagnetic component; interrogating the optical fiber using light and an optical detector; and determining changes in the magnetic field incident on the optical fiber based on the detected changes in the light received by the optical detector.

Abstract: Techniques for using native and/or previously programmed resistive switching devices as one time programmable memory are discussed. On example method comprises allocating a set of resistive switching devices to be one time programmable memory; determining data to be stored in the set of resistive switching devices; for each resistive switching device of the set of resistive switching devices, assigning one of a first digital value or a second digital value to that resistive switching device, based on the data; and for each resistive switching device assigned the first digital value, permanently programming that resistive switching device via reverse formation.

Abstract: The invention provides a method for measuring the magnetic field of an electromagnetic component having the steps of: instrumenting one or more portions of an electromagnetic component by placing an optical fiber in electromagnetic communication with the one or more portions of said electromagnetic component; energizing the electromagnetic component; interrogating the optical fiber using light and an optical detector; and determining changes in the magnetic field incident on the optical fiber based on the detected changes in the light received by the optical detector.

Abstract: In various example embodiments, a system and method for generating and ranking service provider recommendations in a social network are presented. A request to identify a set of service providers that meet a specific criteria is received. The request can be associated with a member of a social network service. Member profiles from among a plurality of member profiles of the social network service are identified based on the specific criteria. A plurality of attributes is extracted from the identified member profiles. A trust factor for each identified member profile indicating the likelihood that the member would trust the service provider is determined based on the extracted profile attributes. The set of service providers is ranked based on the determined trust factor. At least a portion of the set of ranked service providers may be caused to be presented to the member.