Abstract: The present disclosure is directed to an agricultural tractor. The agricultural tractor according to the present disclosure may perform gear shifting and RPM adjustment with the same operation pedal according to a control mode, may perform gear shifting with an operation pedal or a sub-controller, and may change a driving direction with a steering handle or the sub-controller. According to the present disclosure, the risk of erroneous operation and the like is minimized, work efficiency is improved, and the convenience of controlling an agricultural tractor is also improved.

Abstract: The disclosed computer-implemented method may include monitoring, during a ride provided by an autonomous vehicle (AV), passenger communications between a passenger and a remote agent using an in-vehicle electronic device. The method may further include identifying passenger ride preferences based on a passenger request, and in association with a first occurrence of a ride event. The method may also include providing confirmation, via the in-vehicle electronic device, that the request is being fulfilled, the fulfillment of which causes a change in the passenger's AV experience based upon changes to features of the AV. The method may further include generating, based upon the request, a prediction of passenger ride preferences for the passenger and then, during a subsequent AV ride carrying the passenger, applying the predicted passenger ride preferences to an AV during a second occurrence of the ride event. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A data processing apparatus performs a simulation process based on driving operation data of a vehicle. In the simulation process, the apparatus simulates a vehicle behavior using multiple vehicle models having different parameter settings. The data processing apparatus also performs a model identifying process. In the model identifying process, the apparatus evaluates a similarity between a vehicle behavior obtained by the simulation using each vehicle model and an actual measured vehicle behavior of the vehicle. The apparatus identifies one or more vehicle models that satisfy a predetermined similarity condition based on the evaluated similarity.

Abstract: A data processing apparatus includes one or more processors, and one or more recording media including a program to be executed by the one or more processors stored therein. The program includes one or more commands that cause the one or more processors to execute: a simulation process of performing, based on driving operation data of a vehicle, a simulation of a vehicle behavior of the vehicle using vehicle models having different parameter settings; and a model identifying process of identifying one or more of the vehicle models that satisfy a predetermined similarity condition by evaluating a similarity of a vehicle behavior of each of the vehicle models to be obtained in the simulation process with a target vehicle behavior. Evaluating the similarity in the model identifying process is based on respective time waveforms of the vehicle behavior obtained in the simulation process and the target vehicle behavior.

Abstract: Systems, methods, and other embodiments described herein relate to estimating lane boundaries using a slicing model with road data for generating maps. In one embodiment, a method includes computing three-dimensional (3D) representations that are discretized from acquired data about road edges associated with driving lanes. The method also includes deriving discrete and lateral slices of the road edges using a slicing model, the road edges are connected in a road graph that describes a mapped area. The method also includes extracting features from the lateral slices individually using a neural model for forming a histogram to estimate lane boundaries about the driving lanes. The method also includes generating a map by linking the lane boundaries individually along the road edges.

Abstract: A vehicle navigation apparatus includes an apparatus-side map storage, a driver characteristic information storage, a communicator, a route searching unit, and a coincidence determination unit. The communicator transmits driving operation characteristic information of a driver to a mobile terminal, and receives, from the mobile terminal, recommended route information retrieved based on the driving operation characteristic information of the driver. The route searching unit executes searching for route information, based on apparatus-side map information. The coincidence determination unit determines a coincidence between the recommended route information retrieved based on the driving operation characteristic information of the driver and the route information based on the apparatus-side map information. The route searching unit executes re-searching for route information, when the coincidence determination unit determines that the coincidence is less than a predetermined coincidence.

Abstract: The construction equipment includes a lower traveling part, an upper turning part, a work device, a control valve configured to control the hydraulic cylinder, and an operation lever. The construction equipment further includes a work setting unit configured to set a work area of the work device and an information providing unit configured to provide at least one of geographic information, position information of the work device, and posture information of the work device. The construction equipment also includes an electronic control unit configured to output a control signal for the control valve according to a signal input from at least one of the operation lever, the work setting unit, and the information providing unit. In the event the work device is likely to invade the work area, the electronic control unit determines cutoff strength for the operation signal based on a velocity of the work device.

Abstract: A work implement tilt control system for a tracked vehicle having a frame and a work implement mounted to the frame, the system comprising: a lifting unit configured to controllably raise or lower at least part of the work implement; an input device actionable by a first and second types of external actions associated with raising or lowering of the work implement; and a vehicle computer configured to send a signal to the lifting unit to carry out a lowering cycle of the work implement in case the vehicle computer determines that a set of conditions has been met. In some cases, the set of conditions includes: (i) a movement characteristic of the tracked vehicle exceeds a threshold; and (ii) the input device has been actioned by the first type of external action since carrying out the most recent lowering cycle of the work implement.

Abstract: A method of operating a vehicle fleet includes identifying, by a fleet controller, a first vehicle within a vehicle fleet as a charger vehicle, and identifying, by the fleet controller, a second vehicle within the vehicle fleet as a vehicle to be charged. The method further includes navigating, by a controller of the charger vehicle, the charger vehicle to the second vehicle, and transferring, through a first wireless charging coil of the charger vehicle and a second wireless charging coil of the second vehicle, electrical energy to charge a battery of the second vehicle.

Abstract: In various examples, behavior-based mission task management for mobile autonomous machine systems and applications are provided. A mission controller may generate a mission behavior model logic framework for a mission that accounts for the actions of a set of multiple task agents that play a role in completing the mission. The mission controller may assemble a framework starting from a baseline task sequence, correlate tasks defined by the baseline task sequence with pre-defined behavior models, and customize those behavior models based on mission task customization parameters. The mission controller may provide the mission behavior model logic framework to a mission dispatch function. Individual autonomous mobile task agents may then proceed to execute their assigned portions of local task sequences in accordance with the customized behavior models distributed to them by the mission dispatch function.

Abstract: An autonomous driving system may be capable of performing autonomous navigation adjustments using different maps. A user may input, on a first map, a departure point and/or a destination point. The autonomous vehicle may be configured to generate a first route using the departure point. The autonomous vehicle may initiate travel along a second route matching the first route using a different map. Based on collecting surrounding information on the second route and/or traffic information on the second route, the autonomous vehicle may be re-routed to travel along a third route.

Abstract: A hardware processor of a mobile object executes the program stored in a storage device to acquire a state of at least one occupant getting on a mobile object capable of moving on both a roadway and a predetermined region different from the roadway; to recognize whether the mobile object is moving on the roadway or the predetermined region; to recognize presence of a contact portion between the predetermined region and the roadway in a traveling direction of the mobile object; to control the speed of the mobile object at least partially, and limit a speed at which the mobile object is moving on the roadway to a first speed and limit a speed at which the mobile object is moving on the predetermined region to a second speed slower than the first speed; and to bring a speed of the mobile object closer to the second speed when the mobile object is moving on the roadway, the contact portion is recognized within a predetermined range from the mobile object, and the state of the occupant is a predetermined state.

Abstract: A method of operating a vehicle fleet includes providing a first vehicle including a first energy storage device and a first wireless charging coil, and providing a second vehicle including a second energy storage device and a second wireless charging coil. The method further includes providing, by an external device, electrical energy to the first vehicle, and charging, by the first vehicle, the first energy storage device using a first portion of the electrical energy. The method further includes transferring, through the first wireless charging coil and the second wireless charging coil, a second portion of the electrical energy to the second vehicle, and charging, by the second vehicle, the second energy storage device using the second portion of the electrical energy.

Abstract: A system that includes an ingress module arranged to receive flight data having a descent rate value and an altitude value. The system also has a data store with descent rate threshold values of at least one aircraft model. The descent rate threshold values are associated, in the data store, with pressure altitude values. The system also includes a descent classification module that is operably coupled to the ingress module and the data store. The descent classification module is adapted to compare the descent rate value with the descent rate threshold values. The system additionally includes an alert module adapted to provide, in response to the descent classification module comparing the descent rate value that exceeds at least one of the descent rate threshold values, an alert signal to a graphic user interface that is operably coupled to the alert module.

Abstract: In an embodiment a method for controlling a vehicle using a vehicle control apparatus is disclosed. The method includes determining whether one or more occupants are in the vehicle and determining whether to change a route based on a conversation between a main occupant and a non-main occupant, a voice of the main occupant, or a facial expression of the main occupant. The method further includes providing a determination result to the main occupant or the non-main occupant, wherein the determination result is displayed or announced by voice, and driving the vehicle based on the determination result.

Abstract: Provided is a vehicle emergency stop system (1) including a control device configured to start execution of emergency stop control for causing an own vehicle to perform an emergency stop by performing braking control on the own vehicle when an operation of a driving operation device of the own vehicle is not detected for a predetermined time, and to end the execution of the emergency stop control when the operation is detected during the execution of the emergency stop control. The control device is configured to continue the emergency stop control when a collision between the own vehicle and an object is detected during the execution of the emergency stop control and the operation is detected within a first predetermined time from a first time point at which the collision is detected, and when the operation is detected during the execution of the emergency stop control and the collision is detected within a second predetermined time from a second time point at which the operation is detected.

Abstract: An information processing method includes acquiring information on a first route being a travel route of a first mobile body during a first time period and information on a second route being a travel route of a second mobile body during a second time period after the first time period, and setting a route for standby position as a travel route of the first mobile body during a third time period after the first time period and before the second time period when a target position of the first route is located on the second route. The route for standby position is a route from the target position to a standby position. The standby position is a position not overlapping with the second route.

Abstract: A method for monitoring an electric steering device of a vehicle while the vehicle is driving includes generating a nominal movement direction signal that characterizes a current nominal movement direction of the vehicle and processing the nominal direction movement signal in at least one electronic control device, feeding surroundings data into the at least one electronic control device wherein the surroundings data is generated by a sensor device of the vehicle that scans surroundings of the vehicle touch free, wherein the surroundings data characterizes surroundings of the vehicle and is configured to be processed by a first driver assistance system, wherein the surroundings data facilitates detecting a current actual movement direction of the vehicle.

Abstract: A transportation vehicle, an infrastructure component, an apparatus, a computer program, and a method for a transportation vehicle to be remotely operated in a remote driving mode and to be manually operated by a driver in the transportation vehicle in a manual driving mode. The method includes determining driving preferences of the driver based on driving behavior of the driver, predicting information on a future traffic situation for switching from the remote driving mode to the manual driving mode, determining a predicted quality of service (pQoS) of a communication link for the remote driving mode and a remote operation interval for which the transportation vehicle is operable in the remote driving mode based on the pQoS, and determining a handover time and/or a handover place for switching from the remote driving mode to the manual driving mode.

Abstract: Navigation systems and methods for autonomous vehicles are provided. The navigation system may include multiple navigation subsystems, including one having an inertial measurement unit (IMU). That unit may serve as the primary unit for navigation purposes, with other navigation subsystems being treated as secondary. The other navigation subsystems may include global positioning system (GPS) sensors, and perception sensors. In some embodiments, the navigation system may include a first filter for the IMU sensor and separate filters for the other navigation subsystems.