Abstract: Safety metrics and/or statistical system assurance of a particular package of autonomy driving software may be substantially measured using data collected from manually driving a vehicle in the real word, simulations of scenarios which may be faced by a vehicle in the real world, simulations executed with actual software and/or hardware on a vehicle, and/or end-to-end testing of a vehicle in a test environment. Safety metrics and performance of AV software and hardware may be further evaluated through vehicle-in-the-loop testing. During each test scenario, a corresponding set of simulated perception data may be injected to the systems of the autonomous vehicle to cause the autonomous vehicle to react and behave as if one or more simulated objects described by the set of simulated perception data were in the environment of the autonomous vehicle. Each test scenario may be triggered to be performed based on, for example, the autonomous vehicle's location within a real-world vehicle testing space.

Abstract: A wiring harness for a battery and inverter system includes a main cable. It further includes an inverter connector configured to plug the main cable into an inverter module. It further includes a first spur of the main cable terminating in a first-type battery device connector. It further includes a second spur of the main cable terminating in a second type battery device connector.

Abstract: Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an object not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Abstract: A controllable main breaker includes a main breaker sized to fit within an existing panel slot of an electrical panel. The main breaker comprises a trigger to open the main breaker in response to a thermal fault or overcurrent event. The controllable main breaker further includes an auxiliary shell sized to fit within at least one adjacent breaker slot. The auxiliary shell includes a controllable actuator that mechanically opens the main breaker.

Abstract: A wiring harness for a battery and inverter system includes a main cable. It further includes an inverter connector configured to plug the main cable into an inverter module that includes: an inverter-end positive-DC power bus pin, an inverter-end negative DC power bus pin, and an inverter-end neutral power bus pin. It further includes a first spur of the main cable terminating in a first-type battery device connector that includes: a first-type battery module positive-DC power bus pin and a first-type battery device neutral power bus pin. It further includes a second spur of the main cable terminating in a second type battery device connector that includes: a second-type battery module neutral power bus pin and a second-type battery device negative DC power bus pin.

Abstract: Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an object not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Abstract: Controlling a load includes sensing a characteristic of a circuit. A device loads the circuit. It further includes, based at least in part on the sensed characteristic, determining whether the circuit is in a state in which load shedding should be performed. It further includes controlling a switch to control power from the circuit to the device.

Abstract: A controllable main breaker includes a main breaker sized to fit within an existing panel slot of an electrical panel. The main breaker comprises a trigger to open the main breaker in response to a thermal fault or overcurrent event. The controllable main breaker further includes an auxiliary shell sized to fit within at least one adjacent breaker slot. The auxiliary shell includes a controllable actuator that mechanically opens the main breaker.

Abstract: A common reference signal is used by a plurality of serially-connected power optimizers to manage a plurality of photovoltaic panels. It is determined whether an individual voltage output exceeds an individual limit. If so, a corresponding photovoltaic panel in the plurality of photovoltaic panels is adjusted to reduce the individual voltage output and the combined voltage output, where the combined voltage output is based at least in part on (a) the individual voltage output and (2) at least one other individual voltage output associated with another power optimizer. It is determined whether the combined voltage output relative to the common reference signal exceeds a maximum offset. If so, the corresponding photovoltaic panel in the plurality of photovoltaic panels is adjusted to reduce the individual voltage output and the combined voltage output.

Abstract: Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an obj ect not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Abstract: Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an object not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Abstract: Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an object not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Abstract: Aspects of the present disclosure involve systems and methods for obtaining real-time road friction coefficient estimations. In one embodiment, a regression function is learned using a training data set which correlates input data measurements arriving from onboard system sensors and coefficient estimations arriving from an extension system. In another embodiment, the learned regression function can be retrieved to obtain real-time road friction coefficient estimations while the system is in motion.