17936854. MOVING BODY PREDICTION DEVICE, LEARNING METHOD, TRAFFIC SAFETY SUPPORT SYSTEM, AND STORAGE MEDIUM simplified abstract (HONDA MOTOR CO., LTD.)
Contents
- 1 MOVING BODY PREDICTION DEVICE, LEARNING METHOD, TRAFFIC SAFETY SUPPORT SYSTEM, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MOVING BODY PREDICTION DEVICE, LEARNING METHOD, TRAFFIC SAFETY SUPPORT SYSTEM, AND STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
MOVING BODY PREDICTION DEVICE, LEARNING METHOD, TRAFFIC SAFETY SUPPORT SYSTEM, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Akihito Kimata of Saitama (JP)
Tim Puphal of Offenbach/Main (DE)
Naohiro Sakamoto of Saitama (JP)
Masaki Okumoto of Saitama (JP)
MOVING BODY PREDICTION DEVICE, LEARNING METHOD, TRAFFIC SAFETY SUPPORT SYSTEM, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17936854 titled 'MOVING BODY PREDICTION DEVICE, LEARNING METHOD, TRAFFIC SAFETY SUPPORT SYSTEM, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes a predictor for predicting the future of a prediction target in a traffic area. Here is a simplified explanation of the abstract:
- Movement state information acquirer acquires movement state information.
- Surrounding state information acquirer acquires surrounding state information.
- Traffic environment information acquirer acquires traffic environment information.
- Driver state information acquirer acquires driver state information.
- Traffic scene specifier specifies a traffic scene based on the acquired information.
- Action pattern selector selects a predicted action pattern based on the traffic scene and driver state information.
- Action predictor predicts future action based on the selected action pattern.
Potential Applications
This technology could be applied in autonomous vehicles, traffic management systems, and driver assistance systems.
Problems Solved
1. Improved traffic prediction accuracy. 2. Enhanced safety on the roads.
Benefits
1. Increased efficiency in traffic flow. 2. Reduced accidents and congestion.
Potential Commercial Applications
Predictive analytics software for traffic management companies.
Possible Prior Art
One possible prior art could be predictive modeling algorithms used in autonomous vehicles.
Unanswered Questions
How does the predictor handle unexpected events on the road?
The patent application does not specify how the predictor adapts to unforeseen circumstances such as accidents or road closures.
What is the computational complexity of the predictor?
The abstract does not mention the computational resources required to run the predictor efficiently.
Original Abstract Submitted
A predictor predicts a future of a prediction target in a traffic area. The predictor includes a movement state information acquirer configured to acquire movement state information, a surrounding state information acquirer configured to acquire surrounding state information, a traffic environment information acquirer configured to acquire traffic environment information, a driver state information acquirer configured to acquire driver state information, a traffic scene specifier configured to specify a traffic scene on the basis of the movement state information, the surrounding state information, and the traffic environment information, an action pattern selector configured to select, as a predicted action pattern, at least one from among a plurality of predetermined action patterns on the basis of the traffic scene and the driver state information, and an action predictor configured to predict future action on the basis of the predicted action pattern.
