18238745. OBJECT DETECTION APPARATUS, OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE-MEDIUM simplified abstract (Mitsubishi Electric Corporation)

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OBJECT DETECTION APPARATUS, OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE-MEDIUM

Organization Name

Mitsubishi Electric Corporation

Inventor(s)

Kentaro Ishikawa of Tokyo (JP)

OBJECT DETECTION APPARATUS, OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE-MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18238745 titled 'OBJECT DETECTION APPARATUS, OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE-MEDIUM

Simplified Explanation

The object detection apparatus described in the patent application includes three main components: a distance calculation unit, a position coordinate calculation unit, and a noise removal unit.

  • The distance calculation unit analyzes the reception signals received by multiple receivers and identifies target peaks corresponding to these signals. It then calculates the distance to the target based on these peaks.
  • The position coordinate calculation unit uses the calculated distances and the positions of the receivers to estimate the position coordinates of the detected objects. It generates a set of detection points representing the estimated positions.
  • The noise removal unit eliminates any detection points that correspond to noise by analyzing the position coordinates of each detection point in the set.

Potential applications of this technology:

  • Autonomous vehicles: The object detection apparatus can be used in self-driving cars to detect and track objects in the surrounding environment, helping the vehicle navigate safely.
  • Surveillance systems: The apparatus can enhance the capabilities of surveillance systems by accurately detecting and tracking objects in real-time, improving security and monitoring.
  • Robotics: This technology can be applied in robotics to enable robots to detect and interact with objects in their environment, enhancing their capabilities in various tasks.

Problems solved by this technology:

  • Accurate object detection: The apparatus provides a reliable method for detecting objects by analyzing reception signals and calculating distances, improving the accuracy of object detection systems.
  • Noise reduction: The noise removal unit eliminates false detections caused by noise, ensuring that only valid detection points are considered, reducing false alarms and improving the reliability of the system.

Benefits of this technology:

  • Improved safety: By accurately detecting and tracking objects, this technology can enhance the safety of various applications, such as autonomous vehicles, surveillance systems, and robotics.
  • Real-time detection: The apparatus provides real-time object detection, allowing for quick and efficient response to detected objects.
  • Enhanced efficiency: By removing noise and false detections, the technology improves the efficiency of object detection systems, reducing unnecessary processing and improving overall performance.


Original Abstract Submitted

An object detection apparatus includes a distance calculation unit (), a position coordinate calculation unit (), and a noise removal unit (). The distance calculation unit () regards as a target reception signal, each of a plurality of reception signals received by each of a plurality of receivers, detects as a target peak, each of at least one of peaks corresponding to the target reception signals, and calculates as a calculated distance, a distance corresponding to the target peak. The position coordinate calculation unit () calculates a detection point indicating position coordinates indicating a position at which an object is estimated to be present, based on each combination of the calculated distance corresponding to each of the plurality of reception signals and each position of the plurality of receivers, and regards as a detection result point group, a set that consists of the calculated detection points. The noise removal unit () removes from the detection result point group, a detection point corresponding to noise, based on the position coordinates of each detection point included in the detection result point group.

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