Toyota Jidosha Kabushiki Kaisha (20240329216). EXTERNAL ENVIRONMENT RECOGNITION APPARATUS AND METHOD FOR ADJUSTING PARAMETERS OF RECOGNITION ALGORITHM simplified abstract

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EXTERNAL ENVIRONMENT RECOGNITION APPARATUS AND METHOD FOR ADJUSTING PARAMETERS OF RECOGNITION ALGORITHM

Organization Name

Toyota Jidosha Kabushiki Kaisha

Inventor(s)

Takuya Migishima of Hamamatsu-shi Shizuoka-ken (JP)

Taichi Kawanai of Susono-shi Shizuoka-ken (JP)

Hiroshi Sakamoto of Susono-shi Shizuoka-ken (JP)

Hayato Ito of Sunto-gun Shizuoka-ken (JP)

EXTERNAL ENVIRONMENT RECOGNITION APPARATUS AND METHOD FOR ADJUSTING PARAMETERS OF RECOGNITION ALGORITHM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240329216 titled 'EXTERNAL ENVIRONMENT RECOGNITION APPARATUS AND METHOD FOR ADJUSTING PARAMETERS OF RECOGNITION ALGORITHM

Simplified Explanation: The patent application describes an external recognition apparatus for autonomous driving vehicles that can estimate the vehicle's location, gather information about stationary objects, collect sensor data, and adjust parameters of a recognition algorithm based on the deviation between the gathered information.

  • The apparatus estimates the self-location of the autonomous vehicle.
  • It acquires registration information of known stationary objects near the vehicle.
  • The apparatus collects sensor information related to the stationary objects using an external sensor.
  • It adjusts specific parameters of a recognition algorithm based on the deviation between the registration information and the sensor information.

Potential Applications: 1. Autonomous driving systems 2. Navigation systems 3. Object recognition technology

Problems Solved: 1. Accurate self-location estimation for autonomous vehicles 2. Efficient recognition of stationary objects 3. Real-time adjustment of recognition algorithm parameters

Benefits: 1. Improved safety for autonomous vehicles 2. Enhanced object recognition capabilities 3. Optimal performance of recognition algorithms

Commercial Applications: The technology can be utilized in the development of advanced autonomous driving systems for commercial vehicles, enhancing their navigation and object recognition capabilities in various industries such as transportation, logistics, and delivery services.

Prior Art: Readers interested in exploring prior art related to this technology can start by researching patents and publications in the fields of autonomous vehicles, sensor technology, and object recognition algorithms.

Frequently Updated Research: Researchers are constantly working on improving the accuracy and efficiency of autonomous driving systems, which may lead to advancements in external recognition apparatus technology.

Questions about External Recognition Apparatus for Autonomous Driving Vehicles: 1. How does the apparatus estimate the self-location of the autonomous vehicle? 2. What are the specific parameters of the recognition algorithm that can be adjusted based on the deviation between registration information and sensor data?


Original Abstract Submitted

the external recognition apparatus for an autonomous driving vehicle includes an external sensor, at least one processor, and at least one memory communicatively coupled to the at least one processor and storing executable a plurality of instructions. the plurality of instructions is configured to cause the at least one processor to estimate a self-location of an ego-vehicle, acquire registration information of a known stationary object associated with the self-location, acquire sensor information corresponding to the stationary object by the external sensor, and adjust a value of a specific parameter related to the sensor information among parameters of a recognition algorithm based on a deviation between the registration information and the sensor information.