International Business Machines Corporation (20240242599). INTELLIGENT COLLABORATION BETWEEN AUTONOMOUS AND NON-AUTONOMOUS VEHICLES simplified abstract

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INTELLIGENT COLLABORATION BETWEEN AUTONOMOUS AND NON-AUTONOMOUS VEHICLES

Organization Name

International Business Machines Corporation

Inventor(s)

Sarbajit K. Rakshit of Kolkata (IN)

Satyam Jakkula of Bengaluru (IN)

Sudhanshu Sekher Sar of Bangalore (IN)

Sudheesh S. Kairali of Kozhikode (IN)

INTELLIGENT COLLABORATION BETWEEN AUTONOMOUS AND NON-AUTONOMOUS VEHICLES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240242599 titled 'INTELLIGENT COLLABORATION BETWEEN AUTONOMOUS AND NON-AUTONOMOUS VEHICLES

The abstract describes a computer-implemented method, system, and program product that facilitates communication and collaboration between autonomous vehicles and non-autonomous vehicles on a shared roadway. Autonomous vehicles facing challenges due to the presence of non-autonomous vehicles can request deployment of unmanned aerial vehicles (UAVs). These UAVs scan the surrounding environment and nearby vehicles, transmitting data to the autonomous vehicles to aid in driving decisions. The UAVs also project driving decisions onto the windshields or display systems of the attached non-autonomous vehicles.

  • Autonomous vehicles can request deployment of UAVs to assist in navigating shared roadways with non-autonomous vehicles.
  • UAVs scan the environment and nearby vehicles, transmitting data to autonomous vehicles to aid in driving decisions.
  • UAVs project driving decisions onto the windshields or display systems of attached non-autonomous vehicles.
  • Collaboration between UAVs and autonomous vehicles enhances safety and efficiency on shared roadways.
  • The system enables seamless communication and coordination between different types of vehicles for improved traffic flow.

Potential Applications: - Enhancing safety and efficiency on shared roadways with a mix of autonomous and non-autonomous vehicles. - Improving communication and collaboration between different types of vehicles for smoother traffic flow. - Providing real-time data and assistance to autonomous vehicles facing challenges on the road.

Problems Solved: - Difficulty faced by autonomous vehicles in navigating shared roadways with non-autonomous vehicles. - Lack of communication and collaboration between different types of vehicles on the road. - Limited visibility and awareness of surrounding vehicles for autonomous vehicles.

Benefits: - Increased safety for both autonomous and non-autonomous vehicles on shared roadways. - Improved traffic flow and efficiency through better coordination between vehicles. - Enhanced driving experience for both autonomous and non-autonomous vehicle operators.

Commercial Applications: Title: "Enhancing Traffic Safety and Efficiency through Autonomous Vehicle-UAV Collaboration" This technology can be utilized by companies developing autonomous vehicles, transportation agencies, and fleet management companies to improve traffic management and safety on shared roadways.

Questions about Autonomous Vehicle-UAV Collaboration: 1. How does the collaboration between autonomous vehicles and UAVs improve safety on shared roadways? 2. What are the key benefits of using UAVs to assist autonomous vehicles in making driving decisions?


Original Abstract Submitted

a computer-implemented method, system and program product enabling communication and collaboration between autonomous vehicles and non-autonomous driving along a shared roadway. autonomous vehicles having difficulty traveling along the roadway or making driving decisions due to the presence of non-autonomous vehicles request deployment of unmanned aerial vehicles (uav). based on the current driving conditions, the number of non-autonomous vehicles and other factors, a number of uavs are deployed and attached to the non-autonomous vehicles. the uavs scan the surrounding environment and nearby vehicles within the environment. uavs transmit scanned images, sensor data and other information to the nearby autonomous vehicles which generate driving decisions based on the data collection of the autonomous vehicle in conjunction with data provided by uavs. driving decisions of autonomous vehicles are transmitted to the uavs. uavs project the driving decisions of autonomous vehicles onto windshields, huds or display systems of the attached non-autonomous vehicle.

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