Patent classifications
G08G9/00
MOVING BODY, SYSTEM, COMPUTER READABLE RECORDING MEDIUM, AND CONTROL METHOD
There is provided a moving body including: an optical wireless communication unit configured to execute an optical wireless communication with another moving body; an object detection unit configured to detect an object around an own moving body; an object information transmission unit configured to transmit, to the other moving body, first object information including location information of the object, by the optical wireless communication or a radio wave communication; an object information receiving unit configured to receive, from the other moving body, second object information including location information of an object around the other moving body, by the optical wireless communication or the radio wave communication; and a movement control unit configured to control, based on the first object information and the second object information, a movement of the own moving body such that an object is not located on an optical axis of the optical wireless communication.
Podport and Associated Podways for Unmanned Arial Vehicles
A transportation system has transport vehicles with electric motors, pods, being enclosed compartments that accommodate cargo, podports, being exchange stations, charging stations, and a computerized transport control system. An authorized person communicates a request to the computerized transport control system to transport a specific cargo from a first location in the geographic area to a second location in the geographic area, the computerized transport control system defines a journey from the first location to the second location, along a route comprising sequential hops through a series of podports and charging stations. The computerized transport control system manages movement of transport vehicles, exchanges at podports, and charging at charging stations along the defined route, and terminates the journey at the second location where the cargo disembarks.
Podport and Associated Podways for Unmanned Arial Vehicles
A transportation system has transport vehicles with electric motors, pods, being enclosed compartments that accommodate cargo, podports, being exchange stations, charging stations, and a computerized transport control system. An authorized person communicates a request to the computerized transport control system to transport a specific cargo from a first location in the geographic area to a second location in the geographic area, the computerized transport control system defines a journey from the first location to the second location, along a route comprising sequential hops through a series of podports and charging stations. The computerized transport control system manages movement of transport vehicles, exchanges at podports, and charging at charging stations along the defined route, and terminates the journey at the second location where the cargo disembarks.
Storage compartment vehicle apparatus
The present disclosure is directed toward a storage compartment vehicle (“SCV”) for use in the transport of items for delivery to one or more customers and/or retrieval of items from one or more customers. The SCV may include a plurality of storage compartments that are individually accessible, each of which can contain one or more items. The SCV may navigate to a delivery location and customers may retrieve ordered items from the storage compartments of the SCV. Likewise, customers may return items into storage compartments of the SCV.
Storage compartment vehicle apparatus
The present disclosure is directed toward a storage compartment vehicle (“SCV”) for use in the transport of items for delivery to one or more customers and/or retrieval of items from one or more customers. The SCV may include a plurality of storage compartments that are individually accessible, each of which can contain one or more items. The SCV may navigate to a delivery location and customers may retrieve ordered items from the storage compartments of the SCV. Likewise, customers may return items into storage compartments of the SCV.
MULTI-DIMENSION OPERATION OF AUTONOMOUS VEHICLES
Described herein are methods and systems for automatically operating autonomous vehicles to accomplish a coverage task by receiving a plurality of task parameters defining a coverage task in a certain geographical area, calculating and outputting instructions for operating first autonomous vehicle(s) to cover the certain geographical area according to a first movement path computed according to operational parameters of the first autonomous vehicle with respect to the task parameters, identifying uncovered segment(s) in the certain geographical area by analyzing coverage of the certain geographical, and calculating and outputting instructions for operating second autonomous vehicle(s) to cover the uncovered segment(s) according to a second movement path computed according to operational parameters of the second autonomous vehicle. The first autonomous vehicle(s) and the second autonomous vehicle(s) are selected to optimally accomplish the coverage task. The second autonomous vehicle having increased coverage precision and reduced coverage rate compared to the first autonomous vehicle.
MULTI-DIMENSION OPERATION OF AUTONOMOUS VEHICLES
Described herein are methods and systems for automatically operating autonomous vehicles to accomplish a coverage task by receiving a plurality of task parameters defining a coverage task in a certain geographical area, calculating and outputting instructions for operating first autonomous vehicle(s) to cover the certain geographical area according to a first movement path computed according to operational parameters of the first autonomous vehicle with respect to the task parameters, identifying uncovered segment(s) in the certain geographical area by analyzing coverage of the certain geographical, and calculating and outputting instructions for operating second autonomous vehicle(s) to cover the uncovered segment(s) according to a second movement path computed according to operational parameters of the second autonomous vehicle. The first autonomous vehicle(s) and the second autonomous vehicle(s) are selected to optimally accomplish the coverage task. The second autonomous vehicle having increased coverage precision and reduced coverage rate compared to the first autonomous vehicle.
DIGITAL CONTEXT-AWARE DATA COLLECTION
Examples relate to digital context aware (DCA) data collection. In some examples, a DCA start location component is positioned at a first location along a travel route, and a DCA end location component is positioned at a second location along the travel route. In response to using a wireless interface to detect the DCA start location component, data collection of measurements by a sensor are initiated. In response to using the wireless interface to detect the DCA end location component, the data collection by the sensor is halted.
DIGITAL CONTEXT-AWARE DATA COLLECTION
Examples relate to digital context aware (DCA) data collection. In some examples, a DCA start location component is positioned at a first location along a travel route, and a DCA end location component is positioned at a second location along the travel route. In response to using a wireless interface to detect the DCA start location component, data collection of measurements by a sensor are initiated. In response to using the wireless interface to detect the DCA end location component, the data collection by the sensor is halted.
INTERACTIVE ANALYTICAL FRAMEWORK FOR MULTIMODAL TRANSPORTATION
An apparatus for providing recommended solutions for a multi-mode transportation problem associated with a multi-mode transportation network. The apparatus may include a memory and at least one processor coupled to the memory. The at least one processor may be configured to receive transportation-related data regarding a plurality of different modes of transportation. The apparatus may further be configured to generate a single-mode data set for each of the plurality of different modes of transportation. The apparatus may also be configured to generate problem-specific harmonized data for the multi-mode transportation network from the received transportation-related data. The apparatus may further be configured to provide a set of recommended solutions for the multi-mode transportation problem based on the problem-specific harmonized data.