17983771. VEHICLE LIDAR SYSTEM AND OBJECT DETECTION METHOD THEREOF simplified abstract (KIA CORPORATION)
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VEHICLE LIDAR SYSTEM AND OBJECT DETECTION METHOD THEREOF
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VEHICLE LIDAR SYSTEM AND OBJECT DETECTION METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 17983771 titled 'VEHICLE LIDAR SYSTEM AND OBJECT DETECTION METHOD THEREOF
Simplified Explanation
The abstract describes a method for detecting objects using a LiDAR system in a vehicle. Here is a simplified explanation of the abstract:
- The method involves creating a grid map based on the LiDAR data and object information.
- The grid map includes grids that represent the host vehicle lane, based on the lane width.
- The method calculates a road boundary candidate by analyzing the occupation percentages of objects in each lane and the distribution of freespace point data.
- The calculated road boundary candidate is then adjusted using information from a previous road boundary candidate.
- The method outputs road boundary information, which can be used for various purposes such as navigation or autonomous driving.
Potential applications of this technology:
- Autonomous driving systems can use this method to accurately detect road boundaries and navigate the vehicle.
- Advanced driver-assistance systems (ADAS) can benefit from this method by improving object detection and lane keeping capabilities.
- Traffic management systems can utilize this method to monitor and analyze road conditions, such as lane occupancy and object distribution.
Problems solved by this technology:
- Accurate detection of road boundaries is crucial for autonomous driving and ADAS systems to ensure safe and reliable navigation.
- Traditional object detection methods may struggle with accurately identifying road boundaries, especially in complex environments.
- This method addresses the challenge of detecting road boundaries by considering both object information and freespace point data.
Benefits of this technology:
- Improved accuracy in detecting road boundaries, leading to safer and more reliable autonomous driving and ADAS systems.
- Enhanced object detection capabilities, allowing for better understanding of the surrounding environment.
- Efficient use of LiDAR data and object information to generate a grid map and calculate road boundary candidates.
Original Abstract Submitted
An object detection method of a vehicle LiDAR system includes setting grids including a host vehicle lane according to a lane width on a grid map which is generated based on freespace point data and object information, and calculating a road boundary candidate based on occupation percentages of objects by lane calculated based on the object information and distributions of the freespace point data; and outputting road boundary information by correcting the calculated road boundary candidate based on information on a road boundary candidate determined at a previous time point.
