Artificial intelligence for driving lines in racing games
By training a neural network to optimize race results for specific vehicles and tracks, the method provides dynamic driving assistance that adapts to individual vehicle characteristics and real-time conditions, improving player performance in racing video games.
JP2025507349AActive Publication Date: 2025-03-18SONY GROUP CORP +1
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Patent Information
- Application Number
- JP2024547244
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2022-02-08
- Filing Date
- 2022-07-13
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2042-07-13
AI Technical Summary
Technical Problem
Racing video games provide static driving assistance that does not account for the unique characteristics of individual vehicles, leading to suboptimal race results.
Method used
A method involving training a neural network to achieve optimal race results for specific vehicles on specific tracks, recording the agent's trajectory, converting it into course overlay information, and providing dynamic driving assistance based on real-time player state information.
Benefits of technology
The solution provides personalized and dynamic driving assistance that adapts to the unique attributes of each vehicle and real-time conditions, enhancing player performance and achieving optimal race results.
✦ Generated by Eureka AI based on patent content.
Abstract
For example, dynamic driving aids such as driving lines, turn indicators, braking indicators, acceleration indicators, etc. can be provided to players participating in a racing game. Typically, driving lines are provided for each class of car. However, even for cars of the same class, each car is sufficiently different that the ideal driving line and braking points may change. Thus, using agents trained by reinforcement learning, the ideal line and other driving aids can be established for each individual car. These guides can also be modified in response to changes in weather and other track conditions.
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