Abstract: A driving support apparatus (10) executes collision prevention control for avoiding collision with the object when a possibility of a vehicle (VA) colliding with an object based on object information (e.g., distance, direction, and relative speed) acquired by a millimeter wave radar device (21) and a camera device (22) is high. Further, the driving support apparatus does not execute the collision prevention control when an accelerator pedal operation amount is equal to or larger than a stop threshold value. However, the driving support apparatus executes the collision prevention control even when the accelerator pedal operation amount is equal to or larger than the stop threshold value within a specific period of from a start point at which a predetermined erroneous operation condition is satisfied, to an end point, which is a time point after a predetermined consideration period has elapsed since the erroneous operation condition has no longer been satisfied.

Abstract: A longitudinal driver assistance system in a motor vehicle includes a capture system configured to detect upcoming relevant events which require adaptation of a predefined maximum permissible top speed, and a functional unit which, upon detecting an upcoming relevant event, is configured to determine, based on a location of the upcoming relevant event, a first location or first time, the reaching of which causes the functional unit to output a notification to a driver of the vehicle relating to an automatic adaptation of the maximum permissible top speed. The functional unit is also configured to determine a second location or time to be reached after the first location or first time, respectively, the reaching of which causes the functional unit to intervene in a longitudinal guidance of the motor vehicle in a direction of a new maximum permissible top speed at the location of the upcoming relevant event if there is no driver-initiated refusal of the automatic adaptation of the maximum permissible top speed.

Abstract: System, methods, and other embodiments described herein relate to dynamically determining an appropriate responsive action for a moving vehicle in accordance with local traffic regulations. In one embodiment, the disclosed system identifies a stationary vehicle in an environment of the subject vehicle based at least in part on information from a plurality of sensors disposed on the subject vehicle and classifies a type of the stationary vehicle as valid or abandoned based at least in part on the information from the plurality of sensors. A classification of valid indicates that a traffic regulation requires the subject vehicle to undertake a responsive action toward the stationary vehicle. The disclosed system obtains a local traffic regulation based on a location of the subject vehicle and modifies a trajectory of the subject vehicle based on the local traffic regulation when the type of the stationary vehicle is determined to be valid.

Abstract: Navigating a neighborhood using an interactive electronic map displayed on a graphical user interface (GUI) of a mobile software application executing on a wireless mobile computer device. In some embodiments, a method may include receiving the interactive electronic map, automatically displaying the interactive electronic map with a neighborhood, a first selectable icon overlaying a first building, and a second selectable icon overlaying a second building, receiving a selection of the first selectable icon overlaying the first building, automatically displaying a name of the first current occupant, receiving a selection of the name of the first current occupant, and automatically displaying one or more additional current characteristics of the first current occupant.

Abstract: A control system for positioning a marker over a pre-existing roadway surface mark. The control system has an electromagnetic radiation source attached to the marker for producing a mark pattern on the roadway surface. An imager permits the control system to image both the pre-existing roadway surface mark and the mark pattern produced by the electromagnetic radiation source. A computer is responsive to the imager for producing an error signal based upon the location difference between (a) the image of the pre-existing roadway surface mark and (b) the image of the mark pattern produced by the electromagnetic radiation source. An actuator is responsive to the error signal for positioning the marker over the pre-existing.

Abstract: A map data storage method for acquiring map data content used in a subject vehicle and storing the map data content in a common database by using a controller is provided. This method includes converting a format of the acquired map data content to a predetermined format that can be used in the subject vehicle, storing the map data content converted into the predetermined format in the common database, acquiring update information regarding the map data content stored in the common database, and editing the map data content in the predetermined format stored in the common database on the basis of the acquired update information.

Abstract: According to one or more embodiments, a steer by wire steering system includes a handwheel, and a handwheel actuator configured to secure a position of the handwheel. The securing includes determining a transition of the steer by wire steering system to an ingress/egress mode. The securing further includes, based on the determination that the steer by wire steering system is in the ingress/egress mode, computing a holding torque command based on a difference in a present angle of the handwheel and a target angle of the handwheel, which is caused by an input torque. Further, the securing includes generating a holding torque corresponding to the holding torque command to secure the position of the handwheel.

Abstract: A virtual support element may be activated when it is beneficial to assist an autonomous drive system of the vehicle through a physical environment having one or more hazards. A remote support system generates the virtual support element (e.g., a virtual vehicle) that can be controlled through a simulated environment that corresponds to a physical environment of a vehicle. The autonomous drive system of the vehicle follows a path through the physical environment corresponding to the path of the virtual support element through the simulated environment corresponding to the physical environment.

Abstract: A method of mapping an area to be mowed with an autonomous mowing robot comprises receiving mapping data from a robot lawnmower, the mapping data specifying an area to be mowed and a plurality of locations of beacons positioned within the area to be mowed, and receiving at least first and second geographic coordinates for first and second reference points that are within the area and are specified in the mapping data. The mapping data is aligned to a coordinate system of a map image of the area using the first and second geographic coordinates. The map image is displayed based on aligning the mapping data to the coordinate system.

Abstract: A server device includes an acquisition unit configured to acquire vehicle information including at least positional information of a vehicle and related time information from a plurality of vehicles; and a congestion identification unit configured to acquire a speed of the vehicle obtained from the vehicle information and information of a road of multiple lanes in one direction based on map information, and identify that there are a congested lane and a non-congested lane among the multiple lanes in one direction based on speeds of a plurality of vehicles traveling on the same road of the multiple lanes in one direction.

Abstract: A method for operating an advanced driver assistance (ADAS) system of a motor vehicle includes a vehicle controller receiving, from side and end cameras mounted to the vehicle, camera signals indicative of real-time images of outboard-facing side and end views of the vehicle. The controller determines a region of interest (ROI) inset within each end/side view within which is expected foreign objects and/or hazards. These ROIs are analyzed to detect if a foreign object/hazard is present in the vehicle's end and/or side views. Responsive to detecting the foreign object/hazard, movement of the foreign object/hazard is tracked to determine if the foreign object/hazard moves towards or away from the vehicle's underbody region. If the foreign object/hazard moves to the underbody region, control signals are transmitted to the vehicle's propulsion and/or steering system to automate preventative action that prevents collision of the vehicle with and/or removes the foreign object/hazard from the underbody.

Abstract: The present disclosure concerns systems, methods and a set of computer programs for precisely locating the position of at least one road object associated with a portion of a road network. The general principle of the disclosure is based on determining the position of a road object using unsupervised classification based on distribution density. In the disclosure, the classification is applied in two phases. In the first phase, it is applied a first time to the plurality of geographic coordinates associated with a road object so as to automatically group it into homogeneous classes. In the second phase, it is applied a second time to each class produced in the first phase, so as to automatically group it into homogeneous subclasses based on the azimuth angles of the road object that are associated with the geographic coordinates of the class.

Abstract: Methods and apparatus to charge electric vehicles are disclosed. An example method includes determining, via a processor, a remaining trip distance for an electric vehicle. The example method further includes determining, via the processor, a remaining expected range of the electric vehicle. The example method also includes transmitting a request for a mobile charging unit to meet the electric vehicle at a location when a ratio of the remaining trip distance to a remaining expected range exceeds a first threshold.

Abstract: Systems and methods for selecting among different driving modes for autonomous driving of a vehicle may: generate output signals; determine the vehicle proximity information that indicates whether one or more vehicles are within the particular proximity of the vehicle; determine the internal passenger presence information that indicates whether one or more passengers are present in the vehicle; select a first driving mode or a second driving mode based on one or more determinations; and control the vehicle autonomously in accordance with the selection of either the first driving mode or the second driving mode.

Abstract: Systems, methods, and non-transitory computer-readable media can receive disengagement information associated with one or more autonomous vehicles, the disengagement information identifying a plurality of disengagements of an autonomy system during operation of the one or more autonomous vehicles. Each disengagement of the plurality of disengagements can be categorized based on a plurality of categories, wherein a first category of the plurality of categories is associated with disengagement that would not have led to a negative outcome. A performance metric associated with the one or more autonomous vehicles can be determined based on the categorizing each disengagement of the plurality of disengagements. Autonomous vehicle performance of the one or more autonomous vehicles can be evaluated based on the performance metric.

Abstract: A vehicle control apparatus including a driving force generation unit, a driving force distribution mechanism distributing a driving force from the driving force generation unit to a front wheel and a rear wheel, and an electronic control unit having a microprocessor and a memory. The microprocessor is configured to perform: determining whether a mode switching instruction from self-drive mode enabling a self-drive function to manual drive mode disabling the self-drive function has been input; and controlling the driving force distribution mechanism so that a driving force distribution rate of rear wheel driving force relative to front wheel driving force is a first distribution rate during driving in the self-drive mode, and thereafter so that the driving force distribution rate is a second distribution rate greater than the first distribution rate when it is determined that the mode switching instruction has been input.

Abstract: The disclosed computer-implemented method may include tracking personal mobility vehicle batteries. In some embodiments, the method may track and maintain battery power for personal mobility vehicles to help to ensure that there are personal mobility vehicles with sufficient charge available to perform the needed transportation tasks within a dynamic transportation network. In some examples, a swappable battery for a personal mobility vehicle may communicate with a dynamic transportation management system and provide information about current and/or historical charge information. In some examples, the method may use the current state of charge and/or historical charge information to predict the performance of the battery. Based on the predicted performance, the method may predict the range of a personal mobility vehicles with the battery and/or a lifespan of the battery and make matching decisions accordingly. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A delivery method operates in a system with at least one server, at least one robot, and at least one delivery terminal. The method includes communicating a request for at least one delivery from the at least one delivery terminal to the at least one server and/or to the at least one robot; providing instructions from the at least one server to the at least one robot about the at least one delivery, the instructions comprising information about a final delivery location; loading the at least one robot with the at least one delivery to be transported; transporting the at least one delivery in the at least one robot to the final delivery location; and providing access to the at least one delivery in the at least one robot, preferably upon arrival at the delivery location.

Abstract: The present disclosure relates to systems and methods for determining a driving action in autonomous driving. The systems may obtain driving information associated with a vehicle; determine a state of the vehicle; determine one or more candidate driving actions and one or more evaluation values corresponding to the one or more candidate driving actions based on the driving information and the state of the vehicle by using a trained driving-action model; select a target driving action from the one or more candidate driving actions based on the one or more evaluation values; determine a target driving path based on the target driving action; and send signals to a control component of the vehicle to direct the vehicle to take the target driving action to follow the target driving path.

Abstract: A departure sequencing system models airport operations and provides suggested gate pushback times for aircraft. In various embodiments, a departure sequencing system includes an airport state analyzer, a taxi-out predictor, and a pushback optimizer. The departure sequencing system may utilize stochastic models, and resolve aircraft conflicts using a business rules engine. Via use of the departure sequencing system, taxi times may be reduced, taxi fuel burn may be reduced, and airport throughput may be increased.