Nec corporation (20240125929). TARGET OBJECT DETECTION APPARATUS, TARGET OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM simplified abstract

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 20240125929 titled 'TARGET OBJECT DETECTION APPARATUS, TARGET OBJECT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

Simplified Explanation

The target object detection apparatus described in the abstract includes an acquisition unit, a likelihood information generation unit, and a determination unit. The acquisition unit acquires signals from an irradiation apparatus at different timings. The likelihood information generation unit processes these signals to generate likelihood information for regions where a target object may be present. The determination unit then uses this information to determine the presence or absence of a target object.

• Acquisition unit acquires signals from an irradiation apparatus at multiple timings.
• Likelihood information generation unit processes signals to generate likelihood information for regions where a target object may be present.
• Determination unit uses this information to determine the presence or absence of a target object.

Potential Applications

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

Problems Solved

This technology solves the problem of efficiently detecting target objects in a given region by analyzing likelihood information generated from acquired 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 systems for public spaces, surveillance cameras for private properties, autonomous vehicles for transportation services, and robotics for industrial automation.

Possible Prior Art

One possible prior art for this technology could be existing target object detection systems used in surveillance cameras and security systems that rely on image processing algorithms to identify objects within a given area.

Unanswered Questions

How does this technology compare to existing target object detection systems in terms of accuracy and efficiency?

This question can be answered through comparative studies and performance evaluations of the proposed technology against existing systems.

What are the limitations of this technology in terms of detecting specific types of target objects or in challenging environmental conditions?

This question can be addressed through testing the technology in various scenarios and identifying any potential weaknesses or constraints.

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.