Abstract: A method and system of resilient UWB target localization for a vehicle are provided. The system comprises a UWB tag arranged to be mobile and trackable by way of a sensor signal and at least three UWB anchors. Each anchor is in communication with the tag. The system further comprises a gateway in communication with the anchors. The gateway comprises an ECU arranged to receive sensor signals from UWB anchors. The ECU comprises a preprocessing module, a clustering module, and a Bayesian module. The preprocessing module is arranged to align sensor signals at an aligned timestamp to define aligned data. The clustering module is arranged to cluster points of intersections, defining a sensed location for each cluster. The Bayesian module is arranged to determine a real-time location of the tag based on a Bayesian probability function to match the sensed location with a predicted location of the tag.

Abstract: A trailer includes: one or more adjustable suspension actuators; an actuator control module configured to actuate the one or more adjustable suspension actuators; and an adjustment module configured to selectively adjust the one or more adjustable suspension actuators while the trailer is moving based on one or more operating parameters of the trailer.

Abstract: Methods and systems are provided for detecting objects by utilizing uncertainties. In some aspects, a process can include steps for receiving, by an autonomous vehicle system, a frame of a scene with a detected object; estimating, by the autonomous vehicle system, an overall probability of the detected object in the frame; estimating, by the autonomous vehicle system, covariances for each state of at least one bounding box; and balancing, by the autonomous vehicle system, confidence values of the at least one bounding box based on the overall probability of the detected object and the covariances of each state of the at least one bounding box.

Abstract: A trip energy estimation system for a vehicle includes a traffic speed module configured to determine an average traffic speed along a projected route, a path information module configured to output path information indicating route features along the projected route, a perceived speed module configured to output a perceived vehicle speed along the projected route based on the average traffic speed and the path information, and a dynamic driving module configured to calculate and output a predicted driver speed based on the perceived vehicle speed and a feedback input indicative of the predicted driver speed. The dynamic driving module is configured to execute a machine learning algorithm to calculate the predicted driver speed.

Abstract: The present disclosure is directed to combining the strengths of different methods of analyzing collected sensor data to updating a driving pattern of an automated vehicle (AV). This may include combining data from sets of data that track movement of objects over time with instantaneously received sensor data based on a series of steps that include accessing data that tracks the motion of objects in the field of view of a sensing apparatus, receiving current sensor data that includes a component of current or instantaneous object motion, and identifying whether controls of AV should be maintained or changed. When controls of the AV are maintained, an AV may be controlled to stay in driving in a same lane of a roadway at a same velocity. When controls of an AV are changed, changes may include applying, increasing a velocity, or altering the course of the AV.

Abstract: A longitudinal vehicle speed sensor for a vehicle includes a first sensor configured to generate a first measured speed based on one of a wheel speed of the vehicle receiving output torque from a drive unit and an output of a global positioning system (GPS). A second sensor is configured to generate a second measured speed. A speed weighting module is configured to apply a first weight to the first measured speed to generate a first weighted speed. A speed weighting module is configured to apply a second weight to the second measured speed to generate a second weighted speed. An output module is configured to generate a speed estimate based on the first weighted speed and the second weighted speed.

Abstract: The subject technology is related to autonomous vehicles (AV) and, in particular, to an autonomous driver system controller (ADSC) that is fixed to the AV. The AV comprises an electronic drivetrain configured to move the AV; and an autonomous driver system controller (ADSC) fixed to an interior surface of the AV and configured to control the electronic drivetrain with a processor connected to a plurality of memory integrated circuits (IC) that are fixed to a printed circuit board (PCB). The plurality of memory ICs are mounted on each side of the PCB using a ball grid array (BGA) with a column of pins in the BGA of a top-surface memory IC is longitudinally aligned with a corresponding column of pins in the BGA of a bottom-surface memory IC.

Abstract: A method for generating garage parking notifications includes receiving current parked-vehicle data indicating that a vehicle has been parked inside a garage. The current parked-vehicle data includes the current location of the vehicle parked inside the garage. The method further includes determining whether the current location of the vehicle inside the garage is within a warning zone. The warning zone is an area inside the garage where the vehicle has not been frequently parked. The warning zone area is determined using historical parked-vehicle data. The method further includes generating a notification to warn an operator of the vehicle that the vehicle should be moved in response to determining that the current location of the vehicle inside the garage is within the warning zone.

Abstract: A method for performance tuning an electronic control unit (ECU). The performance tuning may include determining one or more tunable values stored on a tunable implementation memory of the ECU to specify tunable calibration data for one or more tunable calibration parameters selected for performance tuning and controlling an application software of the ECU to execute according to the tunable calibration data.

Abstract: A rotor assembly for a permanent magnet motor includes a first assembly including a first plurality of laminations and a second assembly including a second plurality of laminations. The first assembly is located radially inside of the second assembly. The first assembly and the second assembly define a first opening therebetween. First and second permanent magnets are located in the first opening. Polymeric material surrounds the first and second permanent magnets in the first opening. An outer layer surrounds the rotor assembly.

Abstract: A system includes a brake torque request module, a brake control module, and a diagnostic module. The brake torque request module is configured to generate a brake torque request based on a brake pedal position during a braking event. The brake control module is configured to apply friction brakes on a wheelset of a vehicle to satisfy the brake torque request during the braking event. The wheelset includes less than all wheels of the vehicle. The diagnostic module is configured to detect a fault in a brake rotor on a wheel in the wheelset based on vehicle operating conditions measured during the braking event.

Abstract: An axial flux motor includes: a stator having a first side and a second side opposite the first side, the stator including: N stator core components on the first side, where N is an integer greater than two; N stator windings that are disposed around the N stator core components, respectively, where each of the N stator windings includes, from a point of view facing the first side: a first width at a first location; and a second width that is greater than the first width at a second location that is radially outward from the first location relative to an axis; slot openings disposed between adjacent ones of the stator windings; and a rotor including a third side and M permanent magnets on the third side, where the first side is parallel to the third side, and where M is an integer greater than or equal to two.

Abstract: The subject disclosure relates to techniques for filtering perception-related artifacts. The disclosed technology can include receiving, by a machine learning model, a first output generated by a perception system model onboard an autonomous vehicle, wherein the first output is based on sensor data received from sensors of the autonomous vehicle at a first time and includes an inaccurate perception of an environment around the autonomous vehicle, receiving, by the machine learning model, a second output generated by the perception system model onboard the autonomous vehicle, wherein the second output is based on sensor data received from sensors of the autonomous vehicle at a second time after the first time and includes an accurate perception of the environment around the autonomous vehicle, and altering, by the machine learning model, the inaccurate perception of the environment from the first output based on the accurate perception of the environment in the second output.

Abstract: An electric vehicle includes an electrical system and performs a method of charging the electric vehicle. The electrical system includes a first battery subpack, a second battery subpack, wherein the first battery subpack, the second battery subpack, and an electrical load of the electric vehicle are connected in parallel, and a processor. The processor is configured to control a first connection between the first battery subpack and a first charge port and a second connection between the second battery subpack and a second charge port to charge each of the first battery subpack and the second battery subpack while providing power to the electrical load.

Abstract: Compact transmission systems and vehicles with such transmission systems are provided. An exemplary compact transmission includes a drive shaft defining a drive axis and configured to be powered by a drive unit; a planetary gearset having a ring gear member, a planet gear member, a sun gear member, and a planet carrier having a carrier shaft defining a planetary axis, wherein the planetary axis is distanced from the drive axis; an output shaft defining an output axis, wherein the output axis is distanced from the planetary axis and from the drive axis; an output gear connected to the output shaft; a drive pinion gear configured to transfer torque from the drive shaft to the planetary gearset; and an output pinion gear configured to transfer torque from the planetary gearset to the output shaft.

Abstract: Disclosed are systems, apparatuses, methods, and computer-readable media to autonomous driving vehicles and, in particular, for tracking objects in an environment that an autonomous vehicle (AV) is navigating. A method includes receiving environment data from at least one sensor in an AV control system mounted to the AV, the environment data including online tracking data that identifies at least one object within the environment data that is recorded at drive time; annotating the at least one object from the environment data that are incorrectly identified by the AV control system; executing an offline tracking engine to generate offline tracking data that tracks the objects over time in the environment data; and identifying safety gaps between the online tracking data and the offline tracking data.