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18507237. OBJECT DETECTOR AND METHOD FOR OBJECT DETECTION simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

From WikiPatents

OBJECT DETECTOR AND METHOD FOR OBJECT DETECTION

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Kensuke Inagaki of Tokyo-to (JP)

OBJECT DETECTOR AND METHOD FOR OBJECT DETECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18507237 titled 'OBJECT DETECTOR AND METHOD FOR OBJECT DETECTION

Simplified Explanation: The patent application describes a system where an object detector on a vehicle uses data from environmental sensors to detect objects around the vehicle. It identifies blind spots not covered by the sensor data, selects sensors to omit based on vehicle conditions, requests blind spot data from external sensors, and detects objects in blind spots using this data.

Key Features and Innovation:

  • Object detector using environmental sensor data.
  • Identification of blind spots not covered by sensor data.
  • Selection of sensors to omit based on vehicle conditions.
  • Integration of external sensor data for blind spot detection.

Potential Applications: This technology can be used in autonomous vehicles, driver assistance systems, and collision avoidance systems to enhance safety and awareness on the road.

Problems Solved: This technology addresses the issue of blind spots not being covered by traditional sensor data, improving overall object detection and safety measures for vehicles.

Benefits:

  • Enhanced object detection capabilities.
  • Improved safety on the road.
  • Increased awareness of surroundings for drivers.

Commercial Applications: The technology can be applied in the automotive industry for the development of advanced driver assistance systems, autonomous vehicles, and collision avoidance systems, catering to the growing demand for safer and more efficient transportation solutions.

Questions about Object Detection Technology: 1. How does this technology improve object detection compared to traditional methods? 2. What are the potential limitations of using external sensor data for blind spot detection?

Frequently Updated Research: Researchers are constantly exploring ways to improve object detection algorithms and sensor fusion techniques to enhance the accuracy and efficiency of detection systems in various applications.


Original Abstract Submitted

An object detector detects, for each of environmental sensors mounted on a vehicle, an object in an area around the vehicle from each piece of time-series environmental data generated by the environmental sensor; identifies a blind spot that is not represented in any of the pieces of environmental data respectively generated by the environmental sensors; selects, from the environmental sensors, an environmental sensor generating environmental data that can be omitted in detection of the object, based on a travel condition of the vehicle; requests blind spot data representing the blind spot from an external device equipped with an external sensor capable of generating the blind spot data; and stops detection of the object from environmental data generated by the selected environmental sensor and detects an object in the blind spot from obtained blind spot data, when the blind spot data is obtained from the external device.

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