Transport
Citations to U.S. patents by U.S. patents granted in 2023
Top 10
[Cited by Examiner | Cited by Applicant | Summary]
Other WIPO fields:
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Computer technology
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Digital communication
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Electrical machinery, apparatus, energy
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Measurement
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Audio-visual technology
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Medical technology
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Optics
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Transport
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Semiconductors
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Telecommunications
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Other special machines
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Pharmaceuticals
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Organic fine chemistry
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Mechanical elements
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Chemical engineering
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Engines, pumps, turbines
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Civil engineering
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Control
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Basic materials chemistry
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Handling
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Furniture, games
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Machine tools
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Biotechnology
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Other consumer goods
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Macromolecular chemistry, polymers
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IT methods for management
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Textile and paper machines
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Basic communication processes
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Surface technology, coating
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Materials, metallurgy
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Environmental technology
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Thermal processes and apparatus
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Analysis of biological materials
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Food chemistry
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Micro-structural and nano-technology
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[Cited by Examiner | Cited by Applicant | Summary]
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Cited by Examiner
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*1. 15 10324463
Autonomous vehicle operation adjustment based upon route
Inventors:
Blake Konrardy; Scott T. Christensen; Gregory Hayward; Scott Farris
*1. 15 9387928
Multi-use UAV docking station systems and methods
Inventors:
Nicholas Kristofer Gentry; Raphael Hsieh; Luan Khai Nguyen
3. (1) 14 9056676
Systems and methods for UAV docking
Inventors:
Mingyu Wang
3. (9) 14 10906514
Foldable brake pedal apparatus for autonomous vehicle
Inventors:
Eun Sik Kim; Hyeon Uk Kim; Sung Il Byun
*3. 14 10671076
Trajectory prediction of third-party objects using temporal logic and tree search
Inventors:
Marin Kobilarov; Timothy Caldwell; Vasumathi Raman; Christopher Paxton
6. (5) 13 10946741
Autonomous vehicle including foldable accelerator pedal device and foldable brake pedal device
Inventors:
Eun Sik Kim; Hyeon Uk Kim; Sung Il Byun
7. (5) 12 11021058
Foldable accelerator pedal apparatus equipped with hysteresis module for vehicle
Inventors:
Eun Sik Kim; Hyeon Uk Kim; Sung Il Byun
*7. 12 11249506
Foldable brake pedal apparatus for autonomous driving vehicle
Inventors:
Eun Sik Kim; Hyeon Uk Kim; Ji Soo Kim
*7. 12 8511606
Unmanned aerial vehicle base station
Inventors:
Kevin Reed Lutke; Aaron Jonathan Kutzmann
*7. 12 9248834
Predicting trajectories of objects based on contextual information
Inventors:
David Ian Franklin Ferguson; David Harrison Silver; Stéphane Ross; Nathaniel Fairfield; Ioan-Alexandru Sucan
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[Cited by Examiner | Cited by Applicant | Summary]
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Cited by Applicant
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1. (1) 143 6690268
Video mirror systems incorporating an accessory module
Inventors:
Kenneth Schofield; Frank O'Brien; Robert L. Bingle; Niall R. Lynam
2. (2) 139 5550677
Automatic rearview mirror system using a photosensor array
Inventors:
Kenneth Schofield; Mark Larson
3. (3) 136 5670935
Rearview vision system for vehicle including panoramic view
Inventors:
Kenneth Schofield; Mark L. Larson; Keith J. Vadas
4. (4) 121 7038577
Object detection system for vehicle
Inventors:
John A. Pawlicki; Martha A. McMahon; Steven G. Chinn; Joel S. Gibson
5. (5) 111 5949331
Display enhancements for vehicle vision system
Inventors:
Kenneth Schofield; Mark L. Larson; Keith J. Vadas
6. (6) 106 7720580
Object detection system for vehicle
Inventors:
Michael J. Higgins-Luthman
7. (7) 91 7855755
Interior rearview mirror assembly with display
Inventors:
Andrew D. Weller; Mark L. Larson; Ian A. McCabe; Niall R. Lynam; Rodney K. Blank; Joseph P. McCaw; John T. Uken
8. (10) 77 5796094
Vehicle headlight control using imaging sensor
Inventors:
Kenneth Schofield; Mark L. Larson; Keith J. Vadas
9. (10) 73 5877897
Automatic rearview mirror, vehicle lighting control and vehicle interior monitoring system using a photosensor array
Inventors:
Kenneth Schofield; Mark Larson
10. (9) 66 7195381
Vehicle interior LED lighting system
Inventors:
Niall R Lynam; John O Lindahl
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[Cited by Examiner | Cited by Applicant | Summary]
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Summary¹
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The most cited patents of 2023 in the field of Transport indicate R&D focus on the development of autonomous vehicles, Advanced Driver-Assistance Systems (ADAS) technologies, electrification, connected technologies, and the increasing integration of Unmanned Aerial Vehicles (UAVs) into various applications.
Autonomous Vehicles: A significant portion of the top cited patents focuses on autonomous vehicle technology, particularly in the areas of navigation, safety, and human-machine interaction.
- US Patent No. 10324463 ("Autonomous vehicle operation adjustment based upon route") by Konrardy et al. and US Patent No. 10671076 ("Trajectory prediction of third-party objects using temporal logic and tree search") by Kobilarov et al. highlight the crucial role of advanced algorithms and sensor fusion in enabling safe and efficient autonomous navigation, and route optimization and real-time decision-making for safe and efficient autonomous navigation in complex environments.
- US Patent No. 10946741 ("Autonomous vehicle including foldable accelerator pedal device and foldable brake pedal device") by Kim et al., US Patent No. 10906514 ("Foldable brake pedal apparatus for autonomous vehicle") by Kim et al., and US Patent No. 11021058 ("Foldable accelerator pedal apparatus equipped with hysteresis module for vehicle") by Kim et al. demonstrate the need for innovative vehicle design to accommodate the unique requirements of autonomous driving systems.
Advanced Driver-Assistance Systems (ADAS):
- US Patent No. 6690268 ("Video mirror systems incorporating an accessory module") by Schofield et al., US Patent No. 5550677 ("Automatic rearview mirror system using a photosensor array") by Schofield et al., and US Patent No. 5670935 ("Rearview vision system for vehicle including panoramic view") by Schofield et al. highlight the growing importance of advanced camera systems for enhancing driver visibility and safety, and advanced driver-assistance systems, such as blind spot detection and lane departure warning systems.
- US Patent No. 5949331 ("Display enhancements for vehicle vision system") by Schofield et al. and US Patent No. 7720580 ("Object detection system for vehicle") by Higgins-Luthman demonstrate the importance of improved driver displays and advanced object detection algorithms for enhanced safety and situational awareness.
Drone Technology and Logistics:
- US Patent No. 9387928 ("Multi-use UAV docking station systems and methods") by Gentry et al. and US Patent No. 9056676 ("Systems and methods for UAV docking") by Wang highlight the need for efficient and reliable infrastructure to support the operation and maintenance of UAVs, and drone infrastructure and autonomous drone operations for applications such as delivery and logistics.
Disclaimer: This article is for informational purposes only and does not constitute legal or business advice.
Note: This article is based on the provided list of patents and may not be exhaustive.
#Transportation #transport #AutonomousVehicles #electricvehicles #ADAS #UAV #Drones #Logistics #V2V #V2I #technology #Innovation #IPStrategy #PatentAnalysis #TechnologyLaw #IntellectualProperty
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1. The Summary was generated by Gemini (https://gemini.google.com/) after a brief chat about patent citations using a prompt generally as follows: 'Assume you are a person of ordinary skill in the art in the field of: [WIPO field]. Write a short article. Topic: an industry cheerleading informative overview of the most cited patents by patents issued in 2023 in that field. Use the list of patents below, which list includes the US patent number, title, and inventors of the most cited patents by patents issued in 2023 in that field. Include inventor names, patent numbers and patent titles to support the positions and statements made in the memo. Assume these most cited patents teach and disclose foundational knowledge and thus indicate areas receiving the most attention in this field in 2023. Include hashtag terms that are pertinent and will target decision makers in the market to buy attorney IP services.' followed by the list of patents relating to that WIPO field. (The list of patents had been previously generated through other means.) Gemini's output was edited, removing redundant content and topics outside the scope. As such, the statements in the Summary do not necessarily reflect my own views, and are NOT intended as legal, financial, or any other type of advice.
References:
Raw data from: U.S. Patent and Trademark Office. "Data Download Tables." PatentsView. Accessed September 7, 2024. https://patentsview.org/download/data-download-tables.
Please contact me (carlos@candeloro.net) for methodology, or if you know or believe information presented is not correct.
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Copyright 2025 |
Published: Jan. 30, 2025 |
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