TuSimple, Inc. (20240255948). SYSTEM AND METHOD FOR USING HUMAN DRIVING PATTERNS TO MANAGE SPEED CONTROL FOR AUTONOMOUS VEHICLES simplified abstract
Contents
SYSTEM AND METHOD FOR USING HUMAN DRIVING PATTERNS TO MANAGE SPEED CONTROL FOR AUTONOMOUS VEHICLES
Organization Name
Inventor(s)
Kai-Chieh Ma of San Diego CA (US)
Zijie Xuan of San Diego CA (US)
Yufei Zhao of San Diego CA (US)
SYSTEM AND METHOD FOR USING HUMAN DRIVING PATTERNS TO MANAGE SPEED CONTROL FOR AUTONOMOUS VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240255948 titled 'SYSTEM AND METHOD FOR USING HUMAN DRIVING PATTERNS TO MANAGE SPEED CONTROL FOR AUTONOMOUS VEHICLES
Simplified Explanation:
This patent application describes a system and method for using human driving patterns to manage speed control for autonomous vehicles. It involves generating data on desired human driving behaviors, training a human driving model using reinforcement learning, receiving proposed speed control commands, and validating or modifying them based on human driving behavior.
- The system uses human driving patterns to influence speed control for autonomous vehicles.
- Data on desired human driving behaviors is generated to train a human driving model.
- A reinforcement learning process is used to train the human driving model.
- Proposed speed control commands are received and checked against desired human driving behaviors.
- The system validates or modifies the speed control commands based on the comparison with human driving patterns.
Key Features and Innovation:
- Utilizes human driving patterns to improve speed control for autonomous vehicles.
- Trains a human driving model using reinforcement learning.
- Validates or modifies speed control commands based on desired human driving behaviors.
Potential Applications:
This technology can be applied in the development of autonomous vehicles, transportation systems, and traffic management solutions.
Problems Solved:
This technology addresses the challenge of ensuring that autonomous vehicles adhere to human driving behaviors for safe and efficient operation.
Benefits:
- Enhances the safety and efficiency of autonomous vehicles.
- Improves the integration of autonomous vehicles into existing traffic systems.
- Provides a more human-like driving experience for passengers.
Commercial Applications:
The technology can be utilized by companies developing autonomous vehicles, transportation authorities, and companies involved in traffic management systems.
Questions about the Technology: 1. How does this technology improve the safety of autonomous vehicles? 2. What are the potential implications of using human driving patterns for speed control in autonomous vehicles?
Frequently Updated Research:
Research on reinforcement learning algorithms and human-machine interaction in autonomous vehicles may provide further insights into the development and application of this technology.
Original Abstract Submitted
a system and method for using human driving patterns to manage speed control for autonomous vehicles are disclosed. a particular embodiment includes: generating data corresponding to desired human driving behaviors; training a human driving model module using a reinforcement learning process and the desired human driving behaviors; receiving a proposed vehicle speed control command; determining if the proposed vehicle speed control command conforms to the desired human driving behaviors by use of the human driving model module; and validating or modifying the proposed vehicle speed control command based on the determination.
