Abstract: The present disclosure discloses a navigation method, a device, and a medium. The method includes: planning candidate routes based on a start position and an end position of a user, and obtaining a sequence of candidate road sections in each candidate route; matching each candidate road section in the sequence of candidate road sections in each candidate route with an association relationship between an actual road section and actual road auxiliary information, to obtain a sequence of auxiliary information of each candidate route; and sorting the auxiliary information in the sequence of auxiliary information of each candidate route to obtain a sorted result corresponding each candidate route, and selecting target road auxiliary information from the sequence of auxiliary information of each candidate route based on the sorted result, so as to select a target route from the candidate routes based on the target road auxiliary information.

Abstract: Aspects of the disclosure relate to a method of controlling a vehicle having an autonomous driving mode at a multi-way stop intersection. For instance, that the vehicle has come to a stop at a multi-stop intersection may be determined. At least one road user at the intersection may be identified. Based on the determination that the vehicle has come to the stop, a period of time to wait for the at least one road user to proceed through the intersection may be determined. After waiting the determined period of time, that the at least one road user has not begun to proceed through the intersection may be determined. Based on the determination that the at least one user has not begun to proceed through the intersection, the vehicle may be controlled in the autonomous driving mode in order to proceed through the intersection.

Abstract: A trip planning system may receive, from a user device, trip data identifying a starting point and a destination point for a trip and feature data identifying weights for trip features. The trip planning system may determine a geographical region of interest based on the starting point and the destination point. The trip planning system may receive viewpoint data identifying viewpoints located within the geographical region and may calculate, based on the feature data, viewpoint relevance scores for the viewpoints. The trip planning system may determine, based on the viewpoint data and the trip data, paths for the trip and driving times for the paths. The trip planning system may calculate an optimized path, from the paths, based on the viewpoint relevance scores and the driving times associated with the paths. The trip planning system may perform one or more actions based on the optimized path.

Abstract: Among other things, techniques are described for implementing occlusion representations over road features. In general, one innovative aspect of the subject matter described in this specification can be embodied in methods that include: obtaining area information of at least one area of interest for a vehicle, identifying occlusion data associated with the at least one area of interest, determining occlusion information associated with the at least one area of interest based on the area information and the occlusion data, providing the occlusion information for planning a route for the vehicle, and operating the vehicle in accordance with the planned route. The occlusion data includes data associated with the occlusion information, and the occlusion information has a smaller data size than the occlusion data.

Abstract: Systems, methods, and computer-readable media are disclosed for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle in a first format associated with a first communication protocol. The first information is converted from the first format into an agnostic format. An image, video, or real-time feed of an environment of the smart infrastructure device is captured. The first vehicle and a second vehicle in the image, video, or real-time feed is identified. It is determined that the second vehicle is temporarily or permanently incapable of performing a communication with the smart infrastructure device based on the image, video, or real-time feed. The image, video, or real-time feed is analyzed to generate second information associated with the second vehicle. The second information is converted into the agnostic format.

Abstract: The vehicle navigation device guides a user of a vehicle to a destination. The vehicle navigation device includes a car navigation system that acquires the destination, a head-up display that displays various information, and a body ECU that controls the information displayed on the head-up display based on the destination acquired by the car navigation system. The body ECU is configured to cause, on the assumption that the user alights from the vehicle at a current location, the head-up display to display post-alighting guidance information which is information for guiding the user to the destination regarding, for example, walking.

Abstract: The present disclosure is directed to dynamically analyzing data and conditions associated with the movement of a vehicle. A processor may evaluate vehicle location and speed information when identifying an amount of navigation data to send to a computer at a vehicle. The amount of information sent to the computer may vary based on the vehicle speed, a type of road that the vehicle is able to drive along, or may vary based on other attributes. The information sent to the computer may also relate to an area that the vehicle is anticipated to move through in a given time frame. Mapping data sent to the vehicle computer may be associated with a larger area when a vehicle is moving at a faster speed and may be associated with a smaller area when the vehicle is moving at a slower speed.

Abstract: The present disclosure relates to real-time localization error correction of an autonomous vehicle (AV). A processor for real-time localization error correction of the AV is provided. The processor is configured to retrieve a reference landmark around the AV from a map aggregating server (MAS), wherein the AV is configured to interact with the MAS for real-time localization; detect, in real time, a ground truth landmark corresponding to the reference landmark, according to image data captured by one or more image capture devices installed on the AV; and determine a deviation between the ground truth landmark and the reference landmark as a real-time correction value for the real-time localization of the AV.

Abstract: A system for guiding a vehicle is provided. The system includes multiple paths on a surface, wherein each path is defined by light projection characteristics of a respective light projection defining a respective path. The system also includes the vehicle. The vehicle includes a sensor configured to detect the light projection characteristic of the respective path of the multiple paths, and a controller guide the vehicle along the respective path with a light projection characteristic that matches an expected light projection characteristic that is assigned to the vehicle.

Abstract: An earth moving vehicle (EMV) autonomously performs an earth moving operation within a dig site. If the EMV determines that a state of the EMV or the dig site triggers a triggering condition associated with a pause in the autonomous behavior of the EMV, the EMV determines a risk associated with the state or triggering condition. If the risk is greater than a first threshold, the EMV continues the autonomous performance and notifies a remote operator that the triggering condition was triggered. If the risk is greater than the first threshold risk but less than a second threshold risk, the EMV is configured to operate in a default state before continuing and notifying the remote operator. If the risk is greater than the second threshold risk, the EMV notifies the remote operator of the state pauses the performance until feedback is received from the remote operator.

Abstract: Described herein is a method of determining a current location speed limit in a road vehicle (1) speed limit information system (20). The method comprises receiving (6): one or more signals corresponding to respective candidate speed limits (7); and one or more signals related to observed vehicle dynamics affecting changes (8) in one or more vehicles (1, 5) pre and post a most recently passed anticipated speed limit change location (2). It further comprises evaluating (9) the confidence of the different candidate speed limits (7) based on the signals related to observed vehicle dynamics affecting changes (8) and validating (10a) or discarding (10b) candidate speed limits (7) based on the evaluated confidences. A signal (13) corresponding to a highest confidence validated speed limit is output.

Abstract: The present disclosure provides an automated driving vehicle management system, a management method, an automated driving vehicle, and a program that are capable of appropriately managing the automated driving vehicle. The automated driving vehicle management system including: a map information storage unit that stores map information; an imaginary line management unit that manages an imaginary line imaginarily generated for a road included in the map information; and a communication unit that transmits imaginary line information about the imaginary line to a plurality of automated driving vehicles traveling along the imaginary line.

Abstract: A navigation system for providing driving instructions to a driver of a vehicle traveling on a route is provided. The driving instructions are generated by executing a multimodal fusion method that comprises extracting features from sensor measurements, annotating the features with directions for the vehicle to follow the route with respect to objects sensed by the sensors, and encoding the annotated features with a multimodal attention neural network to produce encodings. The encodings are transformed into a common latent space, and the transformed encodings are fused using an attention mechanism producing an encoded representation of the scene. The method further comprises decoding the encoded representation with a sentence generation neural network to generate a driving instruction and submitting the driving instruction to an output device.

Abstract: A system and a method for active steering control with automatic torque compensation are disclosed with a processor that generates a targeted torque signal after receiving a steering assistance signal generated by an active driver assistance device, overlays the targeted torque signal on a driver's torque signal after receiving the driver's torque signal sensed by a torque sensor to generate a steering torque signal, and performs an assistance logic algorithm according to the steering torque signal. As the assistance logic algorithm is performed based on both the steering assistance signal and the driver's torque signal, the steering assistance effect provided by the system and the method will not resist against the way of driver's steering, allowing the driver to easily and stably control the vehicle.

Abstract: An amusement park attraction system includes a plurality of autonomous vehicles configured to accommodate one or more guests and located in an attraction dispatch area. An individual autonomous vehicle includes a vehicle controller including a memory storing instructions and a processor configured to execute the instructions, the instructions configured to cause the vehicle controller to receive an indication that the individual autonomous vehicle is loaded at capacity within the dispatch area and drive autonomous operation of the individual autonomous vehicle from the dispatch area to enter the ride path.

Abstract: The present disclosure relates generally to control systems, and in particular apparatus, methods, and systems for controlling flights remotely or onboard the vehicle. More specifically, the present disclosure describes embodiments of a control system that allows a user to control the motion of a control target in or along one or more degrees of freedom using a single controller.

Abstract: A processing apparatus includes a control unit. The control unit is configured to acquire facility information containing an advertisement or publicity on a facility located along a travel route that a vehicle is scheduled to travel or a facility located within a predetermined range from the travel route, and, while the vehicle is traveling along the travel route, process an image of a first facility associated with the facility information or an image of a second facility present around the first facility based on the facility information and display the image of the first facility or the image of the second facility on a display provided in the vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for planning a trajectory of a vehicle. One of the methods includes obtaining input data for planning a driving trajectory for a vehicle, the input data comprising an intended route for the vehicle and data characterizing an environment in a vicinity of the vehicle; processing the input data using an input encoder neural network to generate feature data that includes a respective feature representation for each of a plurality of locations in the environment; applying spatial attention to the feature representations to generate a respective attention weight for each of the plurality of locations; generating a respective attended feature representation for each of the plurality of locations; generating a bottlenecked representation of the attended feature representations; and generating a planned future trajectory from at least the bottlenecked representation.

Abstract: An electric vehicle includes: a rotary electric machine configured to generate a driving force for driving driving wheels; a driving battery storing power to drive the rotary electric machine; a converter connected to the driving battery; an auxiliary battery connected to the driving battery via the converter; and a cooling box connected to the auxiliary battery. When the driving battery has an SOC reduced to be smaller than a prescribed threshold value, the converter is stopped and power remaining in the auxiliary battery is used to drive the cooling box.

Abstract: A controller for transmitting control information necessary for autonomous driving to an autonomous driving vehicle is provided. The controller includes: a reception device configured to receive a signal transmitted from a wireless communication device included in the autonomous driving vehicle; a first transmission device configured to transmit first control information to the wireless communication device included in the autonomous driving vehicle; and a second transmission device configured to transmit information to a satellite based on a reception condition of the signal from the autonomous driving vehicle received by the reception device, the information being used by the satellite to transmit second control information to a satellite communication device included in the autonomous driving vehicle.