Abstract: In a control method during switching to a manual driving mode of an autonomous vehicle provided with a haptic pedal, when the autonomous vehicle provided with the haptic pedal is switched from an autonomous driving mode to the manual driving mode, a mode change signal is generated to switch to the manual driving mode, and switching to the manual driving mode is performed after the brake pedal is pressed. It is possible to prevent accidents as much as possible through strengthening of safety.

Abstract: Techniques described in this application are directed to determining safe path navigation of an autonomous personal mobility device, including a self-driving electric scooter, using sensors and/or data from other sources. The autonomous personal mobility device is configured to generate maps and transform the maps into tile segments that can be shared with other autonomous personal mobility devices. Techniques further include receiving a request for an autonomous personal mobility device at a location, and enabling the autonomous personal mobility device to self-drive to the location.

Abstract: Path generation apparatus configured to generate target path of own vehicle traveling in own lane, includes: sensor configured to detect objects in surrounding area of own vehicle; and electronic control unit including processor and memory. Electronic control unit is configured to perform: recognizing adjacent vehicle traveling in adjacent lane adjacent to own lane from among detected objects; determining whether own lane is congested based on travel speed of own vehicle and determining whether adjacent lane is congested based on recognition result of adjacent lane; and generating target path of own vehicle. Generating target path includes generating target path on side away from adjacent lane with respect to that of case where own lane is determined to be congested and adjacent lane is determined to be congested, in case where own lane is determined to be congested and adjacent lane is determined not to be congested.

Abstract: An interconnected network including a plurality of autonomous vehicles is described. Each autonomous vehicle can include an immersion cooling system. The network can include a central server for determining whether there has been any network disruption. In the event of the network disruption (or when a network disruption is predicted), the central server can deploy at least one vehicle to the area to maintain the network connectivity. Upon receiving the instructions, the vehicle can drive to the area. The central server can use an artificial intelligence algorithm to make the prediction.

Abstract: A vehicle and a control method thereof capable of easily detecting a failure of a power circuit of a vehicle and safely controlling the vehicle depending on a failure detection result, includes dividing power loads of a vehicle into a plurality of zones and obtaining a failure determination criterion value of each of the zones, monitoring a voltage drop in each of the zones, determining whether a power circuit in each of the zones fails based on a difference between the voltage drop in each of the zones and the failure determination criterion value, and performing preset safe driving control of the vehicle depending on a zone determined as the failure among the plurality of zones.

Abstract: A device for lane determination includes a processor configured to detect a vehicle region representing a target vehicle traveling in an area around a host vehicle from an image of the area around the host vehicle generated by a camera mounted on the host vehicle, and determine that the target vehicle is traveling on an adjacent lane next to a lane on which the host vehicle is traveling, in the case where the vehicle region touches a left or right edge of the image and where a bottom position of the vehicle region is within a predetermined vertical range of the image.

Abstract: A work machine having a powertrain, an engine, a torque converter operably connected to the engine, a transmission, a selector interface, and a control system. The control system is configured to: receive a machine activation signal from the selector interface indicative of operation of the work machine; receive machine conditions to determine an optimal gear for next pass; and send a gear pass signal to command execution of a directional shift and a speed shift simultaneously when a gear ratio setting of the transmission is indicative of a second gear ratio.

Abstract: A remote assistance management system is in communication with autonomous traveling vehicles for letting an operator provide remote assistance in response to an assistance request from a vehicle. The system predicts an occurrence of an assistance request in future based on operation states of the vehicles, and categorize a cause of an assistance request predicted to occur into a first category cause that lasts for a long time and a second category cause that lasts only for a short time. The system receives an assistance request from the vehicles. In response to acquiring a first assistance request of which the cause is the first category cause from a first vehicle, the system transmits a first command signal for the first vehicle that is decided by an operator to the first vehicle, and applies the first command signal to another vehicle from which the first assistance request is predicted to occur.

Abstract: Maneuver Coordination Services (MCS) may be used in various implementations of vehicular networks. Emergency Group Maneuver Coordination (EGMC) may be used for detected unexpected safety-critical situations (USCS) on the road. EGMC provides cooperative maneuver coordination among a group of vehicles to ensure safer collective actions in the case of USCS. An MCS and EGMC may utilize a Maneuver Coordination Message (MCM) based on procedures for the Generation and Transmission of MCM with reduced communication overhead.

Abstract: A vehicle comprising a plurality of seats, a plurality of Bluetooth® modules to which Bluetooth® identification information, different from each other, is assigned, configured to perform pairing with a plurality of user terminals, wherein each of the plurality of Bluetooth® modules corresponds to each of the plurality of seats, a memory configured to store terminal identification information assigned to each of the plurality of user terminals and the Bluetooth® identification information assigned to each of the plurality of Bluetooth® modules, and a processor configured to be connected to the plurality of Bluetooth® modules and the memory.

Abstract: A method and a system for rhythmic motion control of a robot based on a neural oscillator, including: acquiring a current state of the robot, and a phase and a frequency generated by the neural oscillator; and obtaining a control instruction according to the acquired current state, phase and frequency and a preset reinforcement learning network so as to control the robot. The preset reinforcement learning network includes an action space, a pattern formation network and the neural oscillator. A control structure designed by the present disclosure, which is composed of the neural oscillator and the pattern formation network, can ensure formation of an expected rhythmic motion behavior; and meanwhile, a designed action space for joint position increment can effectively accelerate the training process of rhythmic motion reinforcement learning, and solve a problem that design of the reward function is time-consuming and difficult in learning with existing model-free reinforcement learning.

Abstract: Systems, computer readable medium and methods for unlocking an autonomous drone are disclosed. Example methods include receiving an indication of a selection of a fly instruction, capturing an image using an image capturing device of the autonomous drone, processing the image to determine whether a face is present in the image, and if the face is present in the image, taking off. The face has to be within a predetermined distance of the autonomous drone. This ensures that the face is likely from the person that selected the fly instruction and ensures that the autonomous drone is far enough away from the face that the autonomous drone will not crash into the face on take-off. In some examples, the autonomous drone determines whether the autonomous drone is sitting on a hand before taking off. The autonomous drone uses a position of the face to determine an initial flight plan.

Abstract: This disclosure is directed to techniques for collaborative driving during flagger interactions. For instance, a vehicle navigating along a path may detect a flagger using sensor data. Based on detecting the flagger, the vehicle may stop at a location that is at least a threshold distance from the flagger and also send the sensor data to one or more computing devices associated with a teleoperator. The vehicle may then receive a guidance from the one or more computing devices, where the guidance is to proceed past the location. In some examples, the vehicle receives the guidance when the teleoperator activates and holds an input device. Based on receiving the guidance, the vehicle may begin to navigate passed the location and by the flagger. In some examples, the vehicle continues to navigate as long as the teleoperator activates the input device.

Abstract: Disclosed are methods, systems, and one or more computer-readable mediums for performing, by one or more processors located off-board a vehicle, operations including receiving, by the fog based application framework before transit of the vehicle, vehicle operation data from a cloud based database of a cloud based computing system; receiving, by the fog based application framework before and/or in real-time during transit of the vehicle, edge-based vehicle data from one or more edge computing devices of the vehicle; and generating, by the fog based application framework during transit of the vehicle, a plurality of vehicle operation insights based on the vehicle operation data and the edge-based vehicle data.

Abstract: An apparatus carried by an individual for aiding in directing the individual to a location of a starting point for a path of travel by the individual includes a sensor for determining the individual's initial orientation at the starting point and subsequent changes of orientations during the travel; a processor coupled to the sensor for assigning one of four orthogonal (Erections to each of the orientations as experienced by the individual; a memory coupled to the processor for saving at least the orthogonal orientation of the initial orientation and the last experienced orientation; and a display for presenting at least the last experienced orientation to permit the individual to subsequently reorient himself in the direct of the original orientation. The apparatus has particular utility for firefighters to assist in orienting themselves with respect to an initial point of reference (POR) when inside a active firefighting location.

Abstract: This application provides a road structure detection method and apparatus. The method includes: determining boundary information of a host lane and boundary information of an adjacent lane, and determining road structure information based on the boundary information of the host lane and the boundary information of the adjacent lane. The boundary information of the host lane is used to represent a location of a boundary of the current lane. The boundary information of the adjacent lane is used to represent a location of a boundary of the adjacent lane. The boundary information includes lane line information and/or location information of a lane boundary. The road structure information includes location information of a merge point (A) of the host lane and the adjacent lane and/or a split point (B) of the host lane and the adjacent lane.

Abstract: A shovel includes a traveling lower body; a revolving upper body installed on the traveling lower body, to be capable of revolving; an attachment attached to the revolving upper body; an end attachment constituting the attachment; an actuator; and a control device including a memory and a processor configured to cause the actuator to operate autonomously. The control device calculates a control value of the actuator for each of a plurality of predetermined points on the end attachment, and based on the calculated control values, causes the actuator to operate autonomously.

Abstract: The VCIB includes a memory, a communication unit, and a processor. The memory stores beforehand pieces of execution information that are used to execute processes corresponding respectively to a plurality of APIs included in an API set that is a combination of APIs for requesting the VP to execute a predetermined function and requesting transmission of predetermined information from the VP. The communication unit receives, from the ADK, a request according to an API included in a permitted API set that the ADK is permitted to use beforehand. The processor executes a process corresponding to the request received by the communication unit by using execution information for an API relating to the request that is stored in the memory.

Abstract: Computer implemented method for target selection in the vicinity of a vehicle, comprising obtaining vehicle state information, the vehicle state information comprising dynamic information regarding the vehicle, predicting a first trajectory of the vehicle based on the vehicle state information for a first prediction time horizon, detecting road users in the vicinity of the vehicle, determining state information from the detected road users, the state information comprising dynamic information regarding the road users, predicting a second trajectory of the vehicle based on the vehicle state information and the road users state information for the first prediction time horizon and performing a first similarity comparison of the first predicted trajectory and the second predicted trajectory of the vehicle to determine whether the detected road users are a potential target of the vehicle for the first prediction time horizon.

Abstract: A method for inspecting a current condition of a mobile usage unit by a servicing station or a current condition of a servicing station for servicing a mobile usage unit includes generating a current condition data representing the current condition via a sensor system, comparing the current condition data to reference data representative of a reference condition via a data processing unit, and depending on a result of the comparison, outputting information related to the current condition to an acoustic or optical display unit.