Patent classifications
G01C21/00
Method for providing corridor metrics for a corridor of a road network
Disclosed are systems and methods relating to providing corridor metrics based on road network data and telematic data.
System for providing corridor metrics for a corridor of a road network
Disclosed are systems and methods relating to providing corridor metrics based on road network data and telematic data.
Systems and methods for imposing physical actions, by endpoints, based on activities by users
Systems and methods are provided for imposing physical actions, by endpoints, based on activities by users. One such method includes imposing a physical actions via a drone, by an endpoint associated with the drone, based on an activity undertaken by a user. The method includes receiving, by a computing device, an activity message including data indicative of an activity of a user and retrieving at least on rule from a data structure based on the data indicative of the activity where the at least one rule includes a physical action for said activity of the user. The method then includes identifying, by the computing device, the physical action from the at least one rule and transmitting, by the computing device, an order for the physical action to an endpoint, whereby the endpoint commands a drone to perform the physical action.
Systems and methods for imposing physical actions, by endpoints, based on activities by users
Systems and methods are provided for imposing physical actions, by endpoints, based on activities by users. One such method includes imposing a physical actions via a drone, by an endpoint associated with the drone, based on an activity undertaken by a user. The method includes receiving, by a computing device, an activity message including data indicative of an activity of a user and retrieving at least on rule from a data structure based on the data indicative of the activity where the at least one rule includes a physical action for said activity of the user. The method then includes identifying, by the computing device, the physical action from the at least one rule and transmitting, by the computing device, an order for the physical action to an endpoint, whereby the endpoint commands a drone to perform the physical action.
DETERMINING ROAD LOCATION OF A TARGET VEHICLE BASED ON TRACKED TRAJECTORY
Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive images captured over a time period; analyze images to identify a target vehicle; receive map information associated including a plurality of target trajectories; determine, based on analysis of the images, first and second estimated positions of the target vehicle within the time period; determine, based on the first and second estimated positions, a trajectory of the target vehicle over the time period; compare the determined trajectory to the plurality of target trajectories to identify a target trajectory traversed by the target vehicle; determine, based on the identified target trajectory, a position of the target vehicle; and determine a navigational action for the host vehicle based on the determined position.
SYSTEMS AND METHODS FOR CAPTURING IMAGE DATA FOR MAPPING
A method of collecting visual data using a mobile image capture device is provided. The method comprises the steps of: capturing image data with the mobile image capture device and associating time and location data with each image; and storing the image data and associated time and location data. The method further comprises monitoring the position and orientation of the image capture device. The method further comprises: defining an area surrounding or next to the location of the mobile image capture device; and identifying a characteristic of the defined area based on one or more of: the density of the image data in the area; the age of the image data in the area; and/or data demand values associated with locations within the defined area. The timing of capture of image data is based on the characteristic of the defined area.
COVERAGE PATH PLANNING METHOD FOR MULTIPLE UNMANNED SURFACE MAPPING VEHICLES
Disclosed is a coverage path planning method for multiple unmanned surface mapping vehicles, comprising: simultaneously creating submaps and an overall map; outputting its own position information and obstacle information, transmitting to BL.sub.l.sup.i and updating BL.sub.l.sup.m; defining a behavior strategy list (BS); determining the BS with priority for path planning, outputting a to or th state if any criterion is satisfied; when trapped in a local optimum, updating map layers layer-by-layer going upwards, searching for tp in the corresponding layers, performing a BS determination, and outputting a tr instruction; if no target point is found even at the highest layer, checking each CS.sub.P.sub.
Method and Apparatus for Supporting User Interactions with Non-Designated Locations on a Digital Map
A mapping system allows a user to interact with any location on a digital map and present the user with location related information associated with the selected location. The location related information may be in the form or a card, pop-up, image, or other graphic and may be displayed on the map at or near the selected location, around the map, etc. The displayed location related information may include predetermined or pre-stored data about the location or may include location related information collected and generated on the fly in response to the user interaction with the digital map. The displayed location related information may be displayed in the same graphical format on the digital map regardless of whether location related information is predetermined information about the location that already exists or information that is collected and generated on the fly in response to the user interaction.
Vehicle Map Service System
Provided are methods, systems, devices, and tangible non-transitory computer readable media for providing data including vehicle map service data. The disclosed technology can perform operations including receiving vehicle map service data from a plurality of service systems that include a plurality of client systems associated with a vehicle. The vehicle map service data can include information associated with a geographic area. A local map of the geographic area within a predetermined distance of the vehicle can be generated based on the vehicle map service data. Portions of the local map to which each client system is subscribed can be determined for each client system of the plurality of client systems. Additionally, the portions of the local map to which each client system is subscribed can be sent to a respective client system of the plurality of client systems.
PERSONAL PROTECTIVE EQUIPMENT FOR NAVIGATION AND MAP GENERATION WITHIN A VISUALLY OBSCURED ENVIRONMENT
- Nicholas T. Gabriel ,
- John M. Kruse ,
- Gautam Singh ,
- Brian J. Stankiewicz ,
- Jason L. Aveldson ,
- Glenn E. Casner ,
- Elisa J. Collins ,
- Samuel J. Fahey ,
- Haleh Hagh-Shenas ,
- Frank T. Herfort ,
- Ronald D. Jesme ,
- Steven G. Lucht ,
- Carolyn L. Nye ,
- Adam C. Nyland ,
- Jacob E. Odom ,
- Antonia E. Schaefer ,
- Justin Tungjunyatham
The disclosure describes systems (2) of navigating a hazardous environment (8). The system includes personal protective equipment (PPE) (13) and computing device(s) (32) configured to process sensor data from the PPE (13), generate pose data of an agent (10) based on the processed sensor data, and track the pose data as the agent (10) moves through the hazardous environment (8). The PPE (13) may include an inertial measurement device to generate inertial data and a radar device to generate radar data for detecting a presence or arrangement of objects in a visually obscured environment (8). The PPE (13) may include a thermal image capture device to generate thermal image data for detecting and classifying thermal features of the hazardous environment (8). The PPE (13) may include one or more sensors to detect a fiducial marker (21) in a visually obscured environment (8) for identifying features in the visually obscured environment (8). In these ways, the systems (2) may more safely navigate the agent (10) through the hazardous environment (8).