Abstract: A method of operating a traffic management system comprises receiving data from a vehicle indicating a traffic state, estimating a future time at which the vehicle will receive driving instructions transmitted by the traffic management system, predicting a future traffic state at the estimated future time, determining the driving instructions for the vehicle based on the predicted future traffic state, and transmitting the driving instructions to the vehicle.

Abstract: Disclosed embodiments may include a system for generating traffic work zones. The system may receive, via a first GUI of a user device, a first request to generate a traffic work zone, the first request comprising at least a location of the traffic work zone. Responsive to receiving the first request, the system may retrieve, via a database, one or more regulations associated with the location of the traffic work zone; determine, based on the one or more regulations, one or more required materials associated with the location of the traffic work zone; generate a second GUI configured to display a map of the location of the traffic work zone and at least one of the one or more required materials overlaid on the map; and cause the user device to display the second GUI.

Abstract: A device for identifying a signaling unit on a road on which a vehicle is traveling is described. The device is configured to determine an arrangement of one or more signal signs of the signaling unit on the basis of environmental data of one or more environmental sensors of the vehicle. The device is further configured to assign the one or more signal signs to one or more corresponding grid cells of a signal sign grid based on assignment logic.

Abstract: A flight route control method of an unmanned aerial vehicle includes: accepting, by a touch panel, an input of a departure point and a waypoint that the unmanned aerial vehicle will pass; receiving a predetermined time, indicating an end of a time period in which the unmanned aerial vehicle is permitted to fly; generating a flight route passing through the departure point and the waypoint; determining whether or not an arrival time to the waypoint is later than the predetermined time; not accepting the waypoint for the generated flight route when the arrival time is later than the predetermined time; accepting the waypoint for the generated flight route when the arrival time is not later than the predetermined time; and transmitting a control command to the unmanned aerial vehicle, the control command controlling the unmanned aerial vehicle to fly according to the generated flight route.

Abstract: Disclosed are systems, apparatuses, and methods to enhance control of a drone-load system, including through drone thrusters or load thrusters.

Abstract: A vehicle including a vehicle control device is disclosed. The vehicle control device determines whether an object is a preceding vehicle and whether a brake light of the preceding vehicle is on or off. When the object is a preceding vehicle and its brake light is on, the vehicle control device transmits a braking request that instructs a braking control device to stop the vehicle at a position at which an inter-vehicle distance between the preceding vehicle and the vehicle is equal to or larger than a first distance. When the object is a preceding vehicle and its brake light is off, the vehicle control device transmits a braking request that instructs the braking control device to stop the vehicle at a position at which the inter-vehicle distance is equal to or larger than a second distance being smaller than the first distance.

Abstract: A delivery system includes a processor programmed to construct a route so as to include predefined segments traveled by carriers configured to taxi the vehicle and charge a battery thereof such that a state of charge of the battery remains above a target for a duration of the route, and forward the route to the vehicle.

Abstract: An object detection method and apparatus for a vehicle in a confined space are provided. An object detection method for a vehicle traveling in a confined space, includes determining a first beam pattern and a second beam pattern based on geometric information of the confined space, detecting first candidate objects based on a first transmission signal emitted to form the first beam pattern using at least one antenna, detecting second candidate objects based on a second transmission signal emitted to form the second beam pattern using the at least one antenna, detecting at least one clutter object based on the first candidate objects and the second candidate objects, and detecting a target object based on the at least one clutter object.

Abstract: A system includes one or more processors and a communication device onboard a first remote vehicle of a vehicle system that includes a controlling vehicle. The one or more processors are configured to establish a communication link with the controlling vehicle, and, in a first mode of operation, to automatically control movement of the designated remote vehicle responsive to movement-control messages received from the controlling vehicle over the communication link. The one or more processors are also configured, responsive to receipt of a designated suspend message from the controlling vehicle, to switch the designated remote vehicle from the first mode of operation to a second mode of operation where movement of the designated remote vehicle is controlled independently of the controlling vehicle while maintaining the communication link.

Abstract: In a traffic emergency, there is no time for a human to integrate multiple sensor data streams and devise a plan for avoiding a collision. Only the electronic reflexes of a trained automatic system can provide evasive action in time. Disclosed is an artificial intelligence (AI) model trained to recognize an imminent collision based on sensor data, rapidly devise and test a large number of possible sequences of actions, some drawn from a library of previously-successful strategies and others invented by the AI model. If any sequence can avoid the collision, the AI model implements that sequence immediately. If none of the sequences can avoid the collision, the AI model calculates the harm caused by each sequence and picks the one that causes the least harm (fatalities, injuries, etc.) for implementation. AI is needed to find a possible solution in time to implement it and thereby mitigate the imminent collision.

Abstract: A vehicle safety system and technique are described. In one example, a vehicle safety system communicably coupled to a vehicle, comprises processing circuitry coupled to a camera unit and a LiDAR sensor, the processing circuitry to execute logic operative to analyze an image captured by one or more cameras to identify predicted regions of road damage, correlate LiDAR sensor data with the predicted regions of road damage, analyze the LiDAR sensor data correlated with the predicted regions of road damage to identify regions of road damage in three-dimensional space; and output one or more indications of the identified regions of road damage, wherein the processing circuitry is coupled to an interface to the vehicle, the processing circuitry to output an identification of road damage.

Abstract: The present disclosure provides an operation adjustment method for a metro train in a unidirectional jam, including: generating a train operation routing scheme in the jam according to a jam position; setting priorities for turnaround stations; determining an affected train set; predicting, according to the affected train set, arrival times of each affected train at the turnaround stations of the different priorities; determining, according to the time, planned train service to be executed by the affected train after turning around; and acquiring a planned train service canceled during the jam, and allocating, according to the planned train service canceled during the jam, a train resource for train addition or storage. The present disclosure avoid the conventional complicated operation of manually determining the affected train one by one, and reasonably adds the extra passenger train to arrive at the station on the line for passenger carrying.

Abstract: A movable carrier auxiliary system includes an environmental detecting device, a control device, a state detecting device, and an automatically parking device. The environmental detecting device includes an image capturing module and an operation module. A parking controlling method thereof includes capture an environmental image around a movable carrier with the image capturing module; analyze whether the environmental image has a parking space with the operation module; detect a movement state of the movable carrier with the state detecting device; control the control device with the automatically parking device based on an analysis result of the operation module and the movement state of the movable carrier, thereby to move the movable carrier to the parking space, improving a convenience and a safety when parking the movable carrier.

Abstract: An object recognition device is configured to: classify, under a state in which not all object data in a detection data group have been received and a part of the object data have been received by a current processing time, the part of the object data into pieces regarded as ready for association determination and pieces not regarded as ready for the association determination, to thereby associate the object data regarded as ready for the association determination and the prediction data individually with each other and set, as pending object data, the object data not regarded as ready for the association determination; and associate, under a state in which the remaining object data in the detection data group have been received by the next processing time after the current processing time, the remaining object data and the pending object data individually with the prediction data.

Abstract: Systems, methods, and other embodiments described herein relate to improving alert activation for rear collision avoidance. In one embodiment, a method includes, responsive to detecting a target object that is located behind a subject vehicle, determining, by the subject vehicle, characteristics about the target object. The method includes modifying a collision threshold for activating an alert directed to the target object according to the characteristics.

Abstract: A regenerative braking system of an automobile is disclosed. The system also includes an alternator, a plurality of supercapacitors and a power converter subsystem. The system also includes an automobile status sensing subsystem, which identifies a real time motion status of the automobile via one of an accelerometer and a pulse signal measurement. The power converter subsystem is operatively coupled to electrical system and the plurality of supercapacitors. The power converter subsystem transfers generated energy from the alternator and store the generated energy in the plurality of supercapacitors in an event of the braking of the automobile. The stored energy, which is stored in the supercapacitors, is slowly returned to the electrical systems of the automobile during idling, accelerating or running conditions.

Abstract: High definition maps for autonomous vehicles are very high resolution and detailed, and hence require storage of a great deal of data. A vehicle computing system provides multi-layered caching makes this data usable in a system that requires very low latency on every operation. The system determines which routes are most likely to be driven in the near future by the car, and ensures that the route is cached on the vehicle before beginning the route. The system provides efficient formats for moving map data from server to car and for managing the on-car disk. The system further provides real-time accessibility of nearby map data as the car moves, while providing data access at optimal speeds.

Abstract: A navigation system may include at least one processor programmed to receive, from a camera, one or more images representative of an environment of a host vehicle; receive a first directional indicator representative of a first target trajectory direction for the host vehicle; and receive a first distance estimate associated with the first target trajectory direction. The processor may analyze the one or more images in view of the received first directional indicator and the received first distance estimate to identify in the one or more images a representation of a first road segment consistent with the first target trajectory direction and the first distance estimate; and generate a planned trajectory for the host vehicle, based at least in part on the first target trajectory direction and the first distance estimate. The planned trajectory may be made to extend along at least a portion of the first road segment.

Abstract: An autonomous vehicle including a vehicle propulsion system, a braking system, a steering system, and a computing system. The computing system includes a processor and memory that stores computer-executable instructions that cause the processor to select a route for a passenger of the autonomous vehicle for a trip to a destination. The route for the passenger is selected from a plurality of potential routes. The route for the passenger is selected based on a preference of the passenger and aggregate ride quality feedback from passengers of autonomous vehicles in a fleet at locations along the potential routes to the destination. The processor is further configured to control at least one of the vehicle propulsion system, the braking system, or the steering system to move the autonomous vehicle along the route as selected for the trip to the destination.

Abstract: A method and system for estimating an angular deviation from a reference guidance axis, a position and a velocity of an aircraft. The system includes an offset collection module for collecting an offset measured by a measurement module, a position vector collection module for collecting a position vector measured by a position vector measurement module, a velocity vector collection module, a module for estimating the angular deviation of a reference guidance axis with respect to the approach axis towards the runway, for estimating the position of the aircraft with respect to the runway and for estimating the velocity of the aircraft with respect to the runway.