Terrance L. Huntsberger - Altadena CA, US Arturo Rankin - Santa Clarita CA, US Hrand Aghazarian - La Crescenta CA, US Andrew B. Howard - Los Angeles CA, US Rene Felix Reinhart - Gutersloh, DE
Assignee:
California Institute of Technology - Pasadena CA
International Classification:
G05D 1/00 H04N 13/02
US Classification:
701 21, 348 47, 348E13074
Abstract:
Systems and methods for sea state prediction and autonomous navigation in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes a method of predicting a future sea state including generating a sequence of at least two 3D images of a sea surface using at least two image sensors, detecting peaks and troughs in the 3D images using a processor, identifying at least one wavefront in each 3D image based upon the detected peaks and troughs using the processor, characterizing at least one propagating wave based upon the propagation of wavefronts detected in the sequence of 3D images using the processor, and predicting a future sea state using at least one propagating wave characterizing the propagation of wavefronts in the sequence of 3D images using the processor. Another embodiment includes a method of autonomous vessel navigation based upon a predicted sea state and target location.
Target Trailing With Safe Navigation With Colregs For Maritime Autonomous Surface Vehicles
Yoshiaki Kuwata - Los Angeles CA, US Michael T. Wolf - Los Angeles CA, US Dimitri V. Zarzhitsky - La Canada Flintridge CA, US Hrand Aghazarian - La Crescenta CA, US Terrance L. Huntsberger - Altadena CA, US Andrew B. Howard - Los Angeles CA, US
Assignee:
California Institute of Technology - Pasadena CA
International Classification:
G05D 1/02
US Classification:
701 21
Abstract:
Systems and methods for operating autonomous waterborne vessels in a safe manner. The systems include hardware for identifying the locations and motions of other vessels, as well as the locations of stationary objects that represent navigation hazards. By applying a computational method that uses a maritime navigation algorithm for avoiding hazards and obeying COLREGS using Velocity Obstacles to the data obtained, the autonomous vessel computes a safe and effective path to be followed in order to accomplish a desired navigational end result, while operating in a manner so as to avoid hazards and to maintain compliance with standard navigational procedures defined by international agreement. The systems and methods have been successfully demonstrated on water with radar and stereo cameras as the perception sensors, and integrated with a higher level planner for trailing a maneuvering target.
High-Resolution, Continuous Field-Of-View (Fov), Non-Rotating Imaging System
Terrance L. Huntsberger - Altadena CA, US Robert C. Stirbl - Pasadena CA, US Hrand Aghazarian - La Crescenta CA, US Curtis W. Padgett - Los Angeles CA, US
Assignee:
The United States of America as represented by the Administrator of the National Aeronautics and Space Administration - Washington DC
International Classification:
H04N 5/225 H04N 7/18
US Classification:
3482181, 348 36, 348143, 348373, 348374
Abstract:
A high resolution CMOS imaging system especially suitable for use in a periscope head. The imaging system includes a sensor head for scene acquisition, and a control apparatus inclusive of distributed processors and software for device-control, data handling, and display. The sensor head encloses a combination of wide field-of-view CMOS imagers and narrow field-of-view CMOS imagers. Each bank of imagers is controlled by a dedicated processing module in order to handle information flow and image analysis of the outputs of the camera system. The imaging system also includes automated or manually controlled display system and software for providing an interactive graphical user interface (GUI) that displays a full 360-degree field of view and allows the user or automated ATR system to select regions for higher resolution inspection.
Automated Vessel Navigation Using Sea State Prediction
- Pasadena CA, US Arturo Rankin - Santa Clarita CA, US Hrand Aghazarian - La Crescenta CA, US Andrew B. Howard - Los Angeles CA, US Rene Felix Reinhart - Gutersloh, DE
International Classification:
G01C 13/00 G01C 11/00 G01C 11/04 B63H 25/04
Abstract:
Systems and methods for sea state prediction and autonomous navigation in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes a method of predicting a future sea state including generating a sequence of at least two 3D images of a sea surface using at least two image sensors, detecting peaks and troughs in the 3D images using a processor, identifying at least one wavefront in each 3D image based upon the detected peaks and troughs using the processor, characterizing at least one propagating wave based upon the propagation of wavefronts detected in the sequence of 3D images using the processor, and predicting a future sea state using at least one propagating wave characterizing the propagation of wavefronts in the sequence of 3D images using the processor. Another embodiment includes a method of autonomous vessel navigation based upon a predicted sea state and target location.
Youtube
Serjik Aghazarian - Abrir Mayrik/Im Hayrik [...
Serjik Aghazarian; Album; Mother 1994.
Duration:
4m 25s
JPL's Rock Climbing Robot
... A King, Nitish Thatte, Kevin Witkoe, Moises Nevarez, Michael Garre...
Duration:
3m 1s
Grand Canyon 2021
Horn, Granite and Bedrock.
Duration:
8m 15s
Grand Canyon 2021 Minor Flash at Upper 220
Duration:
8m 19s
Right Side of Hance 2017 05 11
Nick's run down the right side of Hance on the Colorado River in the G...
Duration:
4m 43s
New Canyon above Elves
Duration:
20s
Wyoming (Part 1) Jackson Hole
Drew Vogt, Matt Vogt, James Segura, Gary Aghazarian, Jason Cimino, Eri...
Duration:
3m 2s
Hermit 2017 05 12
Nick's run down Hermit rapid on the Colorado River in the Grand Canyon.