Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive area data and sensor data from a plurality of vehicle sensors. The processor may be configured to extract road characteristics for a location from the area data, predict expected sensor readings at the location for the plurality of sensors based on the road characteristics, calculate dynamic limits for the sensor data in response to the expected sensor readings and determine a plausibility of the sensor data received from the interface when the vehicle reaches the location. The sensor data may be plausible if the sensor data is within the dynamic limits. A confidence level of the sensor data may be adjusted in response to the plausibility of the sensor data.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

Abstract: The present disclosure provides systems and methods for controlling a sensor system. More particularly, a sensor control system can access respective first data and second data descriptive of one or more monitored parameters associated with a first sensor of an autonomous vehicle. Based on the first data and the second data, the sensor control system can determine that a change in the one or more monitored parameters between the first sensor and the one or more second sensors has exceeded a predetermined threshold level. In response, the sensor control system can implement a control action relative to at least the first sensor (e.g., initiating cleaning of the first sensor, adjusting alignment of the first sensor, determining a compensation factor for the first data received from the first sensor, or communicating a signal request for service of the first sensor).

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

Abstract: Systems and methods for determining degradation in perception sensors of an autonomous vehicle are provided. A method can include obtaining, by a computing system comprising one or more computing devices, first data from a first sensor of an autonomous vehicle and second data from a second sensor of the autonomous vehicle. The first data and the second data can include detection level data. The computer-implemented method can further include obtaining, by the computing system, third data from the first sensor. The third data can include processed data. The computer-implemented method can further include determining, by the computing system, a sensor degradation condition for the first sensor based at least in part on the first data, the second data, and the third data, and implementing, by the computing system, a sensor correction action for the first sensor based at least in part on the sensor degradation condition.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive area data and sensor data from a plurality of vehicle sensors. The processor may be configured to extract road characteristics for a location from the area data, predict expected sensor readings at the location for the plurality of sensors based on the road characteristics, calculate dynamic limits for the sensor data in response to the expected sensor readings and determine a plausibility of the sensor data received from the interface when the vehicle reaches the location. The sensor data may be plausible if the sensor data is within the dynamic limits. A confidence level of the sensor data may be adjusted in response to the plausibility of the sensor data.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

Abstract: The present disclosure provides systems and methods for controlling a sensor system. More particularly, a sensor control system can access respective first data and second data descriptive of one or more monitored parameters associated with a first sensor of an autonomous vehicle. Based on the first data and the second data, the sensor control system can determine that a change in the one or more monitored parameters between the first sensor and the one or more second sensors has exceeded a predetermined threshold level. In response, the sensor control system can implement a control action relative to at least the first sensor (e.g., initiating cleaning of the first sensor, adjusting alignment of the first sensor, determining a compensation factor for the first data received from the first sensor, or communicating a signal request for service of the first sensor).

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

Abstract: An assembly provides a dual function for mounting a port connector on a circuit board and also secures a capacitor to the circuit board. The assembly includes the circuit board and a monolithic plastic frame having a flange, a snap structure, a capacitor cradle, and a socket section. The flange has a fastening structure for fastening the frame to the circuit board. The snap structure for a snap-in attachment of the port connector to the frame is arranged near an end edge of the circuit board. The capacitor cradle for holding a cylindrical capacitor is formed adjacent to the snap structure and is elevated from the circuit board by an air gap. The socket section bears socket contacts for receiving capacitor contact leads.

Abstract: An assembly provides a dual function for mounting a port connector on a circuit board and also secures a capacitor to the circuit board. The assembly includes the circuit board and a monolithic plastic frame having a flange, a snap structure, a capacitor cradle, and a socket section. The flange has a fastening structure for fastening the frame to the circuit board. The snap structure for a snap-in attachment of the port connector to the frame is arranged near an end edge of the circuit board. The capacitor cradle for holding a cylindrical capacitor is formed adjacent to the snap structure and is elevated from the circuit board by an air gap. The socket section bears socket contacts for receiving capacitor contact leads.