Abstract: A parking assist system for a vehicle includes the following elements. A parking space width calculator is configured to calculate a parking space width between objects. A parking width comparator is configured to compare the parking space width with the width of a virtual parking region. A movement trace detector is configured to detect a movement trace within the virtual parking region. A target detector is configured to determine whether a target faces at least one side of the virtual parking region other than the side near the vehicle. A parking priority setter is configured to set a parking priority for the virtual parking region based on a movement trace and an object. A display selector is configured to display parking space candidates based on parking priority and instructs a driver to select a parking space candidate.

Abstract: An information processing device (100) includes an acquisition unit (151) that acquires instruction information including an instruction from an operator on a moving direction for a moving body, a transformation unit (154) that transforms the moving direction included in the instruction information acquired by the acquisition unit (151) into a moving direction in a relative coordinate system based on a reference position, which is determined according to a surrounding environment of the moving body, and a relative position of the moving body, and a control unit (156) that controls a moving direction of the moving body on the basis of the moving direction transformed by the transformation unit (154).

Abstract: The present disclosure is related to generating map data explicitly indicating a total drivable surface, which may include multiple types of drivable surfaces. For instance, a given portion of a map may include map data indicating a combination of various drivable surfaces, such as road segments, lane properties, intersections, parking areas, shoulders, driveways, etc. Examples of the present disclosure join these different types of drivable surfaces into combined map data that explicitly indicates a total drivable surface, such as a perimeter boundary indicating or representing a transition from a drivable surface to a non-drivable surface. The map data indicating the total drivable surface may be searched to determine information related to a drivable surface boundary, such as location and type. This boundary information may be used in various contexts, such as when planning a trajectory or remotely controlling a vehicle.

Abstract: Methods and systems for controlling navigation of a vehicle are disclosed. The system will first identify a plurality of goal points corresponding to a drivable area that a vehicle is traversing or will traverse, where the plurality of goal points are potential targets that an uncertain road user (URU) within the drivable area can use to exit the drivable area. The system will then receive perception information relating to the URU within the drivable area, and identify a target exit point from the plurality goal points based on a score. The score is computed based on the received perception information and a loss function. The system will generate a trajectory of the URU from a current position of the URU to the target exit point, and control navigation of the vehicle to avoid collision with the URU.

Abstract: This document describes techniques, systems, and methods for multi-scan sensor fusion for object tracking. A sensor-fusion system can obtain radar tracks and vision tracks generated for an environment of a vehicle. The sensor-fusion system maintains sets of hypotheses for associations between the vision tracks and the radar tracks based on multiple scans of radar data and vision data. The set of hypotheses include mass values for the associations. The sensor-fusion system determines a probability value for each hypothesis. Based on the probability value, matches between radar tracks and vision tracks are determined. The sensor-fusion system then outputs the matches to a semi-autonomous or autonomous driving system to control operation of the vehicle. In this way, the described techniques, systems, and methods can provide high-precision object tracking with quantifiable uncertainty.

Abstract: A tractor with at least one lifting mechanism that has an upper link and lower links and actuators associated therewith, at least one attachment adapted to the lifting mechanism, and a driver assistance system is disclosed. The driver assistance system optimizes the operation of the tractor and has a computing unit, a memory unit and at least one input interface. The computing unit processes information generated by machine-internal sensor systems, external information, and information that may be saved in the memory unit. The tractor and/or the at least one attachment include a control device for controlling and regulating the tractor and the attachment. The driver assistance system comprises an automatic lifting mechanism that is configured to function based on characteristics, and to optimize adjustment of at least one work parameter of the tractor depending on selectable regulation strategies and/or optimization target variables saved in the memory unit.

Abstract: The disclosure is generally directed to systems and methods for adaptive prediction of electrified vehicle performance including receiving a set of goal parameters identifying a drivers performance requirements, receiving a set of fixed parameters related to course, vehicle and passenger status, receiving past energy consumption data for the electrified vehicle and the driver, generating an adaptive prediction of a future state of charge (SOC) of one or more electricity sources, and providing a dynamic control alteration based on the adaptive prediction, the dynamic control alteration as a function of the set of goal parameters. The adaptive prediction is based on the set of goal parameters, the set of fixed parameters and the past energy consumption data. The adaptive prediction includes updated parameters based on performance of the electrified vehicle.

Abstract: In accordance with an exemplary embodiment, a system is provided that includes a sensor system configured to generate sensor data associated with a seat of a vehicle; and a processor communicatively coupled to the sensor system and configured to determine, from the sensor data, a baseline position of a child seat sitting on the seat of the vehicle, determine, from the sensor data, a displacement of the child seat from the baseline position, and selectively generate notification data based on the displacement.

Abstract: Methods and systems are provided for diagnostics and/or prognostics of a vehicle center bearing with integrated sensors. A method includes generating a degradation analysis of the center bearing from real-time vehicle operating data, the data including feedback from one or more of a temperature sensor, a displacement sensor, and an accelerometer wired to a battery integrally arranged in a bearing compartment of a vehicle.

Abstract: A system and a method are disclosed where a robot operating using a first traversal protocol traverses autonomously along a first route that is defined by markers that are detectable by the robot, wherein the robot is configured to move only based on a presence and type of each marker when the robot is configured to operate based on the first traversal protocol. The robot detects, while traversing along the route, a triggering condition corresponding to a change in operation by the robot from the first traversal protocol to a second traversal protocol. Responsive to detecting the triggering condition, the robot is configured to operate in the second traversal protocol, wherein the robot, when configured to operate based on the second traversal protocol, determines a second route autonomously without regard to a presence of any of the markers.

Abstract: The invention provides a method for controlling a plurality of vehicles which are repeating a cycle of driving along a route, which has at least one single vehicle area (SLTA1, . . .

Abstract: The position of the distance measurement point is acquired from the distance measurement sensor, the lateral position of the road boundary is estimated from the most frequent value in the frequency distribution indicating the distribution status of the distance measurement point group. When multiple peaks having a frequency in the frequency distribution equal to or higher than a predetermined value are disposed on one of the left side and the right side of the vehicle, it is determined whether the estimation of the road boundary is in an unstable state. The vehicle position on the map is specified, and the traveling lane of the vehicle is estimated based on the information about the numerical number of traffic lanes and the positional relationship of the road boundary without using the estimation result of the lateral position of the road boundary in the unstable state.

Abstract: The present technology is directed to training and the use of a machine learning model to measure the safety of an autonomous vehicle (AV) driving in simulation. An AV management system can run a simulation of an AV autonomously piloting itself and collect simulation driving data. Further, the AV management system can parse the simulation driving data into kinematic and semantic environmental features and output a simulation safety score of the simulation based on the kinematic and semantic environmental features. The simulation safety score indicates a probability of a safety critical event such as a collision or a near-miss between the AV and the at least one simulated object in the simulation.

Abstract: Systems and methods for navigation with magnetic field sensors are provided. For example, a system includes a magnetic gradient sensor that measures a magnetic gradient. The system also includes one or more inertial sensors that provide inertial measurements. Additionally, the system includes a magnetic field sensor that measures magnetic fields. Further, the system includes one or more processors that execute computer-readable instructions that direct the one or more processors to estimate a magnetic field based on the measured magnetic gradient and a velocity estimate from the inertial measurements. The computer-readable instructions also direct the one or more processors to calculate an error for the magnetic field and other navigation parameters using an additional magnetic field measurement from the magnetic field sensor.

Abstract: Methods, systems, and computer programs are presented for implementing Personalized Mobility as a Service (PMaaS) to improve transportation services delivery. One storage medium includes instructions for detecting, by a mobility as a service (MaaS) system, a request for a trip from a user device of a user. The storage medium further includes instructions for mapping, using a model executing on the machine, the user to a persona from a plurality of persona models. Each persona model has one or more characteristics associated with users of the MaaS system. Further yet, the storage medium includes instructions for determining trip parameters for the trip based on the persona mapped to the user, the trip parameters defining one or more trip segments for the trip, and instructions for providing trip parameters to the user device.

Abstract: A roadway mapping device for a vehicle includes a camera unit for detecting image data and a control unit. The control unit is configured to determine roadway regions in the image data detected by the camera unit. The control unit is further configured to transform the image data, including the determined roadway regions, into a bird's-eye view by utilizing inverse perspective imaging and to project same onto a plane. The control unit is further configured to add the determined roadway regions to a grid map in the plane. Furthermore, the control unit is configured to align at least two grid maps from two different journeys with respect to each other and to combine them to create a final grid map of the roadway regions.

Abstract: An example method involves identifying one or more potential route segments that collectively connect at least two geographical points, receiving spatiotemporal weather information that predicts future weather conditions along each of the potential segments, and, for each potential segment, evaluating a partial cost function that comprises a summation of a set of segment-weighted cost factors, where at least one segment-weighted cost factor comprises an adverse weather risk factor based on the future weather conditions along the potential segment. The method also involves selecting, based on a minimization of a total cost function, a set of selected segments and corresponding segment target speeds for the vehicle to utilize while traversing between the at least two geographical points so as to avoid adverse weather conditions, the total cost function being the sum of partial cost functions associated with a set of segments that collectively connect the at least two geographical points.

Abstract: A system and method for sensor quality detection continuously monitors a context (vehicle state, proximal environmental factors, surrounding environmental conditions) surrounding a vehicle as well as actual sensor output. The system compares actual sensor output with expected sensor output to determine if the sensor has become degraded or if the degradation is due to the surrounding context. Once the system determines the context-based or actual degradation, it determines if the sensor is able to complete an assigned tasking with the degradation within the specific mission-based requirements of the sensor. Should the degraded sensor be unable to complete the task, the system transfers the tasking to a second vehicle equipped with an operational sensor.

Abstract: A bidirectional vehicle may be capable of traveling in either of two directions and may change its direction of travel at any point for various reasons. In response to a change in the direction of travel, systems of a bidirectional vehicle may adjust one or more suspension components using various techniques to configure the vehicle with a higher ride frequency at the trailing axle than at the leading axle to enhance the ride quality and handling capabilities of the vehicle.

Abstract: A radar-based system for communicating information to a vehicle uses spatially-encoded markers that are positioned proximate to a roadway traveled by the vehicle. The markers are designed to convey a unique radar signature that distinguishes the markers from other objects. The unique radar signature or marker characteristics are further interpreted by at least one controller on the vehicle as encoded messages. Marker distinguishing characteristics, such as size, shape, orientation and movement, provide distinct information to the controller. The controller may use the conveyed information to make control decisions for the vehicle or to display the conveyed information to occupants of the vehicle. In some cased, the controller may use the conveyed information to determine a location of the vehicle, such as a position of the vehicle within a lane.