17769602. TARGET OBJECT DETECTION APPARATUS, TARGET OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM simplified abstract (NEC Corporation)

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

Organization Name

NEC Corporation

Inventor(s)

Tatsuya Sumiya of Tokyo (JP)

Masayuki Ariyoshi of Tokyo (JP)

Kazumine Ogura of Tokyo (JP)

Nagma Samreen Khan of Tokyo (JP)

Shingo Yamanouchi of Tokyo (JP)

Toshiyuki Nomura of Tokyo (JP)

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

This abstract first appeared for US patent application 17769602 titled 'TARGET OBJECT DETECTION APPARATUS, TARGET OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

Simplified Explanation

The target object detection apparatus includes an acquisition unit, a likelihood information generation unit, and a determination unit. The acquisition unit acquires an IF signal from an irradiation apparatus at multiple timings. The likelihood information generation unit processes the IF signal to generate likelihood information for target object regions, indicating the presence probabilities of a target object in those regions. The determination unit then determines the presence or absence of a target object based on the generated likelihood information.

  • Acquisition unit acquires IF signal from irradiation apparatus at various timings
  • Likelihood information generation unit processes IF signal to generate likelihood information for target object regions
  • Likelihood information indicates presence probabilities of target object in those regions
  • Determination unit determines presence or absence of target object based on likelihood information

Potential Applications

This technology can be used in various fields such as security systems, surveillance, autonomous vehicles, and robotics for accurate target object detection.

Problems Solved

This technology solves the problem of accurately detecting the presence of target objects in specific regions by analyzing likelihood information generated from IF signals.

Benefits

The benefits of this technology include improved accuracy in target object detection, enhanced security measures, increased efficiency in surveillance systems, and better decision-making capabilities for autonomous vehicles and robotics.

Potential Commercial Applications

Potential commercial applications of this technology include security companies, surveillance system manufacturers, autonomous vehicle developers, and robotics companies looking to enhance their target object detection capabilities.

Possible Prior Art

One possible prior art for this technology could be existing target object detection systems that use different methods such as image processing or radar technology to detect objects in specific regions.

Unanswered Questions

How does this technology compare to existing target object detection systems using image processing?

This technology focuses on processing IF signals to generate likelihood information for target object regions, which may provide more accurate and reliable detection compared to image processing methods.

What are the limitations of this technology in terms of detecting small or moving target objects?

The abstract does not provide information on the limitations of this technology in detecting small or moving target objects, which could be crucial for understanding its practical applications and potential challenges.


Original Abstract Submitted

A target object detection apparatus () includes an acquisition unit (), a likelihood information generation unit (), and a determination unit (). The acquisition unit () acquires an IF signal from an irradiation apparatus () at a plurality of timings. The likelihood information generation unit () executes, by processing the IF signal, processing of generating, with respect to each of a plurality of IF signals, likelihood information for a region (hereinafter, referred to as a target object region) having a possibility in that an accompaniment, i.e., a target object is present. The likelihood information indicates a distribution of presence probabilities of a target object in at least a height direction in a target object region. Then, the determination unit () determines a presence or absence of a target object, by using likelihood information generated for each of a plurality of target object regions.