Sensor simulation and learning sensor models with generative machine learning methods
US-11966673-B2 · Apr 23, 2024 · US
Apparatus for and method of generating a test case for an advanced driver assistance system
US2024211382A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024211382-A1 |
| Application number | US-202318538697-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 13, 2023 |
| Priority date | Dec 21, 2022 |
| Publication date | Jun 27, 2024 |
| Grant date | — |
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Abstract
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An apparatus for generating a test case for an advanced driver assistance system (ADAS). The apparatus includes a communication interface and a processor connected to the communication interface. The processor is configured to generate virtual light detection and ranging (LIDAR) data by performing a process of receiving, via the communication interface, raw data generated using a LIDAR, detecting an object contained in the raw data, and randomly arranging LiDAR data within a boundary of the object.
First claim
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What is claimed is: 1 . An apparatus for generating a test case for an advanced driver assistance system (ADAS), the apparatus comprising: a communication interface; and a processor connected to the communication interface, wherein the processor is configured to generate virtual light detection and ranging (LIDAR) data by performing a process including: receiving, via the communication interface, raw data generated using a LiDAR, detecting an object contained in the raw data, and randomly arranging LiDAR data within a boundary of the object. 2 . The apparatus of claim 1 , wherein the processor is configured to detect a number of LiDAR points contained within the boundary of the object from the raw data. 3 . The apparatus of claim 2 , wherein the processor is configured to repeatedly perform detecting the number of LiDAR points contained within the boundary of the object while changing the number of LiDAR points within a range that does not reach the detected number of LiDAR points. 4 . The apparatus of claim 2 , wherein the processor is configured to compute a minimum number of LiDAR points necessary to recognize the object. 5 . The apparatus of claim 4 , wherein the processor is configured to repeatedly perform computing the minimum number of LIDAR points while changing the number of LiDAR points within a range that reaches or exceeds the minimum number of LiDAR points. 6 . The apparatus of claim 4 , wherein the processor is configured to compute the minimum number of LiDAR points by repeatedly performing a process of outputting the raw data to an ADAS controller, and checking whether or not the object is recognized by the ADAS controller, while decreasing the number of LiDAR points contained within the boundary of the object. 7 . A method for generating a test case for an advanced driver assistance system (ADAS) using light detection and ranging (LIDAR), the method comprising: receiving, by a processor, raw data generated using a LIDAR; detecting, by the processor, an object contained in the raw data; and generating, by the processor, virtual LiDAR data by performing a process of randomly arranging LiDAR points within a boundary of the object. 8 . The method of claim 7 , further comprising, before generating the virtual LiDAR data, detecting, by the processor, a number of LiDAR points contained within the boundary of the object from the raw data. 9 . The method of claim 8 , wherein generating the virtual LIDAR data includes repeatedly detecting the number of LiDAR points contained within the boundary of the object while changing the number of LiDAR points within a range that does not reach the detected number of LiDAR points. 10 . The method of claim 8 , further comprising, before generating the virtual LiDAR data, computing, by the processor, a minimum number of LiDAR points necessary to recognize the object. 11 . The method of claim 10 , wherein generating the virtual LIDAR data includes repeatedly computing the minimum number of LIDAR points while changing the number of LiDAR points within a range that reaches or exceeds the minimum number of LiDAR points. 12 . The method of claim 10 , wherein computing the minimum number of LiDAR points includes repeatedly performing a process of outputting the raw data to an ADAS controller, and checking whether or not the object is recognized by the ADAS controller, while decrementing a number of LiDAR points contained within the boundary of the object.
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Classifications
Methods or tools to render software testable · CPC title
- G06F11/3684Primary
for test design, e.g. generating new test cases · CPC title
Processor details or data handling, e.g. memory registers or chip architecture · CPC title
Radar; Laser, e.g. lidar · CPC title
External transmission of data to or from the vehicle · CPC title
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- What does patent US2024211382A1 cover?
- An apparatus for generating a test case for an advanced driver assistance system (ADAS). The apparatus includes a communication interface and a processor connected to the communication interface. The processor is configured to generate virtual light detection and ranging (LIDAR) data by performing a process of receiving, via the communication interface, raw data generated using a LIDAR, detecti…
- Who is the assignee on this patent?
- Hyundai Autoever Corp
- What technology area does this patent fall under?
- Primary CPC classification G06F11/3684. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Jun 27 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).