Toyota jidosha kabushiki kaisha (20240092399). MOTION PREDICTION DEVICE AND MOTION PREDICTION METHOD simplified abstract

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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 20240092399 titled 'MOTION PREDICTION DEVICE AND MOTION PREDICTION METHOD

Simplified Explanation

The patent application describes a motion prediction device for vehicles that can detect traffic participants in a predetermined range of surroundings, determine blind areas not represented in the surrounding data, and predict the motion of virtual traffic participants in those blind areas.

  • Detects traffic participants in a predetermined range of surroundings
  • Determines blind areas not represented in the surrounding data
  • Presumes virtual traffic participants in blind areas
  • Predicts motion of traffic participants caused by the presence of virtual traffic participants

Potential Applications

The technology could be applied in autonomous vehicles, advanced driver assistance systems, and traffic management systems.

Problems Solved

The technology helps in improving safety by predicting the motion of traffic participants in blind areas, reducing the risk of accidents.

Benefits

- Enhanced safety on the road - Improved decision-making for autonomous vehicles - Better traffic flow management

Potential Commercial Applications

"Enhancing Traffic Safety with Motion Prediction Technology"

Possible Prior Art

There may be prior art related to motion prediction devices for vehicles, but specific examples are not provided in the abstract.

Unanswered Questions

How accurate is the motion prediction in blind areas?

The level of accuracy of the motion prediction in blind areas is not specified in the abstract. Further details on the technology's precision would be beneficial for understanding its effectiveness.

What types of virtual traffic participants are considered in the blind areas?

The abstract mentions the presence of virtual traffic participants in blind areas, but it does not specify the types of virtual entities that are considered. Understanding the range of virtual traffic participants would provide insights into the device's capabilities.


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.