ROBOCARS INC. (20240296109). SYSTEMS AND METHODS FOR TESTING, TRAINING AND INSTRUCTING AUTONOMOUS VEHICLES simplified abstract
Contents
SYSTEMS AND METHODS FOR TESTING, TRAINING AND INSTRUCTING AUTONOMOUS VEHICLES
Organization Name
Inventor(s)
Ragunathan Rajkumar of Monroeville PA (US)
Sandeep D'souza of Pittsburgh PA (US)
Anand Bhat of Pittsburgh PA (US)
SYSTEMS AND METHODS FOR TESTING, TRAINING AND INSTRUCTING AUTONOMOUS VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240296109 titled 'SYSTEMS AND METHODS FOR TESTING, TRAINING AND INSTRUCTING AUTONOMOUS VEHICLES
The abstract describes systems and methods for testing, training, and instructing autonomous vehicles (AVs).
- Generating test objects from a stored set of test objects or attributes, superimposing them on sensory data from AV sensors, and testing software subsystems in manual, partially autonomous, or fully autonomous modes.
- The method allows for live testing of AVs in various operational modes using sensory data from the vehicle's environment.
- By superimposing test objects on sensory data, the method can evaluate the performance of AV software subsystems in realistic scenarios.
- This approach enables comprehensive testing and training of AVs to improve their functionality and safety.
- The method can be used to assess the readiness and reliability of AVs in different driving conditions and scenarios.
Potential Applications: This technology can be applied in the development and validation of autonomous vehicles for various industries such as transportation, logistics, and public safety.
Problems Solved: The technology addresses the need for effective testing and training methods for autonomous vehicles to ensure their safe and reliable operation on the road.
Benefits: Improved testing accuracy and efficiency, enhanced safety and reliability of autonomous vehicles, and accelerated development of AV technology.
Commercial Applications: The technology can be utilized by automotive manufacturers, technology companies, and research institutions involved in the development of autonomous vehicles.
Questions about Autonomous Vehicle Testing: 1. How does the method of superimposing test objects on sensory data improve the testing of autonomous vehicles? 2. What are the potential challenges in implementing this testing method on a large scale?
Original Abstract Submitted
systems and methods for testing, training, and instructing autonomous vehicles (avs) are described herein. in one aspect, a computer-implemented method for live testing an av including generating one or more test objects from a stored set of test objects, test object attributes, or a combination thereof; superimposing the one or more test objects on sensory data received from one or more sensors of the av and corresponding to an external environment of the av; and testing one or more software subsystems of the av, in a manual mode, a partially autonomous mode or a fully autonomous mode, with the sensory data after superimposition.
