Abstract: A system for detecting a state of a hood latch of a hood of a vehicle is described. The system includes a sensor located on an exterior of the vehicle, one or more processors, and a memory coupled to the one or more processors storing machine executable instructions. The system is configured to receive, at the sensor, sensor data, the sensor data being associated with a period of time, calculate, using the sensor data, a displacement of the hood over the period of time, and determine, based on the displacement of the hood, a status of the hood latch.

Abstract: A system including at least one memory and at least one processor coupled to the at least one memory is disclosed. The at least one processor is configured to: receive, from a camera mounted on the autonomous vehicle, camera data; receive, from a sensor mounted on the autonomous vehicle, sensor data; identify, based on the camera data, a surface in the environment of the autonomous vehicle; and process a subset of the sensor data associated with the surface to determine an audio signal based on vibration of the surface.

Abstract: An autonomous vehicle configured to detect occluded objects. The autonomous vehicle includes a processor in communication with a memory device, and sensors. The processor is programmed to: (i) receive optical data of optical phenomena adjacent the autonomous vehicle based upon analysis of sensor data from the sensors; (ii) analyze the optical data of the optical phenomena to determine that the optical phenomena corresponds to the presence of an object adjacent the autonomous vehicle, the object being occluded from a line of sight of the autonomous vehicle, the line of sight being defined at least in part by a trailer of the autonomous vehicle; (iii) change one or more driving behaviors of the autonomous vehicle based upon the determination of the presence of the occluded object; and (iv) control operation of the autonomous vehicle based upon the one or more changed driving behaviors.

Abstract: An AV includes at least one memory and at least one processor coupled to the memory, configured to execute the stored instructions to perform the following: receive inputs from one or more acoustic sensors positioned at one or more locations on the AV, with the sensors capturing audio signals associated with AV operation in its surrounding environment. The AV processes these inputs to identify audio signals generated by specific components of the AV. The AV processes the inputs to isolate distinct sound patterns to determine if they are indicative of an anomaly associated with a component failure. The AV analyzes these audio signals to detect periodic sound patterns related to tire rotation, assessing the frequency and amplitude of these patterns to identify a specific tire exhibiting an anomaly. In response to detecting a tire anomaly, the AV initiates a corrective action by the AV to address the detected issue.

Abstract: A system includes at least one memory and at least one processor coupled to the at least one memory. The at least one processor is configured to: (i) based upon sensor data, identify a respective location of each package of a plurality of packages loaded in a cargo area of a trailer; (ii) receive dimensions and weight data corresponding to each package of the plurality of packages; (iii) determine a center of mass of the cargo area loaded with the plurality of packages; (iv) determine a type of load concentration based upon the respective location and the weight data of each package; and (v) based at least in part upon the type of load concentration, based at least in part upon route information, and based at least in part upon the center of mass, generate a probability score of an undesired incident during transport of the plurality of packages.

Abstract: The present disclosure generally relates to systems and methods for fault detection and management in power network connections. An autonomy computing system analyzes test signals to identify cable conditions and decides on actions based on a fault database. Additionally, a power management system, equipped with a processor, monitors power networks, evaluates fault severity, and implements remedial actions to ensure system integrity. A method for detecting power network faults involves transmitting test signals, assessing signal degradation, and initiating appropriate responses to maintain the operation of autonomy systems. These innovations enhance the reliability and efficiency of power network management.