18289913. IMAGING CONDITION DETERMINATION METHOD, IMAGING CONDITION DETERMINATION SYSTEM, IMAGING CONDITION DETERMINATION DEVICE, AND COMPUTER READABLE MEDIUM simplified abstract (NEC Corporation)

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IMAGING CONDITION DETERMINATION METHOD, IMAGING CONDITION DETERMINATION SYSTEM, IMAGING CONDITION DETERMINATION DEVICE, AND COMPUTER READABLE MEDIUM

Organization Name

NEC Corporation

Inventor(s)

Jiro Abe of Tokyo (JP)

Yoshimasa Ono of Tokyo (JP)

IMAGING CONDITION DETERMINATION METHOD, IMAGING CONDITION DETERMINATION SYSTEM, IMAGING CONDITION DETERMINATION DEVICE, AND COMPUTER READABLE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18289913 titled 'IMAGING CONDITION DETERMINATION METHOD, IMAGING CONDITION DETERMINATION SYSTEM, IMAGING CONDITION DETERMINATION DEVICE, AND COMPUTER READABLE MEDIUM

The imaging condition determination system described in the abstract includes a reference data holding unit, an indication object holding unit, an imaging condition determination unit, and an imaging condition output unit.

  • The reference data holding unit stores data representing the position of an object.
  • The indication object holding unit stores data representing the position of a target object on the reference data.
  • The imaging condition determination unit calculates the imaging condition of LiDAR for imaging the target object based on the reference data and the indication object.
  • The imaging condition output unit then outputs the determined imaging condition.

Potential Applications: - Autonomous vehicles for accurate object detection and avoidance. - Surveillance systems for precise tracking of targets. - Robotics for enhanced navigation and object recognition.

Problems Solved: - Ensures accurate imaging conditions for LiDAR systems. - Improves the efficiency of object detection and tracking. - Enhances the overall performance of imaging technologies.

Benefits: - Increased safety in autonomous vehicles and surveillance systems. - Enhanced precision in robotics applications. - Improved reliability and accuracy of imaging processes.

Commercial Applications: Title: Advanced Imaging Condition Determination System for Autonomous Vehicles and Robotics This technology can be utilized in the development of autonomous vehicles, surveillance systems, and robotics for various commercial applications. It can significantly improve the accuracy and efficiency of object detection, tracking, and navigation processes, leading to safer and more reliable operations.

Questions about the technology: 1. How does the imaging condition determination system improve the performance of LiDAR imaging? 2. What are the key advantages of using this system in autonomous vehicles and robotics applications?


Original Abstract Submitted

An imaging condition determination system according to the present disclosure includes: a reference data holding unit () configured to hold reference data representing a position of an object; an indication object holding unit () configured to hold an indication object representing a position of a target object on the reference data; an imaging condition determination unit () configured to determine an imaging condition of LiDAR for imaging the target object based on the reference data and the indication object; and an imaging condition output unit () configured to output the imaging condition.