18353223. MOTION PREDICTION DEVICE AND MOTION PREDICTION METHOD simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)
Contents
- 1 MOTION PREDICTION DEVICE AND MOTION PREDICTION METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MOTION PREDICTION DEVICE AND MOTION PREDICTION METHOD - 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 Original Abstract Submitted
MOTION PREDICTION DEVICE AND MOTION PREDICTION METHOD
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
Ray Kawanishi of Sumida-ku (JP)
Katsuhiro Sakai of Kawasaki-shi (JP)
Taisuke Sugaiwa of Chofu-shi (JP)
Hiroshi Nakamura of Chofu-shi (JP)
Naoki Nagasaka of Nagakute-shi (JP)
MOTION PREDICTION DEVICE AND MOTION PREDICTION METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18353223 titled 'MOTION PREDICTION DEVICE AND MOTION PREDICTION METHOD
Simplified Explanation
The patent application describes a motion prediction device for vehicles that detects traffic participants in the surrounding area, determines blind spots, and predicts the motion of virtual traffic participants in those blind spots.
- The device detects traffic participants in a predetermined range of surroundings.
- It determines if there are blind areas not represented in the surrounding data.
- When blind areas are detected, the device presumes the presence of virtual traffic participants in those areas.
- It predicts the motion of the traffic participants caused by the presence of the virtual traffic participants.
Potential Applications
This technology could be applied in autonomous vehicles, advanced driver assistance systems, and traffic management systems.
Problems Solved
This technology helps in improving safety by predicting the motion of traffic participants in blind spots, reducing the risk of accidents.
Benefits
The device enhances situational awareness for drivers, increases overall road safety, and improves traffic flow efficiency.
Potential Commercial Applications
Potential commercial applications include integration into autonomous vehicles, aftermarket driver assistance systems, and traffic control infrastructure.
Possible Prior Art
One possible prior art could be existing systems that detect and predict the motion of traffic participants but may not specifically focus on blind spot detection and virtual traffic participant prediction.
What is the accuracy rate of predicting the motion of virtual traffic participants in blind spots?
The accuracy rate of predicting the motion of virtual traffic participants in blind spots would depend on the effectiveness of the detection algorithms and the quality of the surrounding data.
How does the device differentiate between real traffic participants and virtual traffic participants in blind spots?
The device likely uses algorithms to analyze the surrounding data and determine patterns that indicate the presence of virtual traffic participants in blind spots, distinguishing them from real traffic participants.
Original Abstract Submitted
A motion prediction device detecting, from surrounding data representing a situation in a predetermined range of surroundings of a vehicle, a traffic participant existing in the predetermined range, determining whether there is a blind area not represented in the surrounding data in the predetermined range, when it is determined that there is a blind area presuming that there is a virtual traffic participant in the blind area, and predicting motion of the traffic participant caused by the presence of the virtual traffic participant.
