18487276. METHOD AND APPARATUS OF FILTERING DYNAMIC OBJECTS IN RADAR-BASED EGO-EMOTION ESTIMATION simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
METHOD AND APPARATUS OF FILTERING DYNAMIC OBJECTS IN RADAR-BASED EGO-EMOTION ESTIMATION
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
Yeong Sang Park of Daejeon (KR)
Kyoung-Wook Min of Daejeon (KR)
Jeong Dan Choi of Daejeon (KR)
METHOD AND APPARATUS OF FILTERING DYNAMIC OBJECTS IN RADAR-BASED EGO-EMOTION ESTIMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18487276 titled 'METHOD AND APPARATUS OF FILTERING DYNAMIC OBJECTS IN RADAR-BASED EGO-EMOTION ESTIMATION
The patent application describes a method for filtering dynamic objects in radar-based ego-motion estimation. This involves converting radar sensor measurements into a point cloud, classifying the points into static and dynamic objects, filtering outliers, and tracking the position of dynamic objects.
- Converting radar sensor measurements into a point cloud
- Classifying points into static and dynamic objects based on previous position tracking
- Filtering outliers in the static object points
- Classifying dynamic object points into candidate static and dynamic objects based on velocity models
- Tracking the position of dynamic objects based on the points of dynamic and candidate dynamic objects
Potential Applications: - Autonomous driving systems - Traffic monitoring and management - Robotics and drones
Problems Solved: - Accurate estimation of ego-motion in dynamic environments - Improved object tracking and classification in radar systems
Benefits: - Enhanced safety in autonomous vehicles - More efficient traffic flow and congestion management - Increased reliability of radar-based systems
Commercial Applications: Title: Radar-Based Ego-Motion Estimation for Autonomous Vehicles This technology can be utilized in the development of advanced driver-assistance systems, autonomous vehicles, and smart transportation infrastructure.
Prior Art: There may be existing patents related to radar-based object tracking and motion estimation in dynamic environments.
Frequently Updated Research: Stay updated on advancements in radar sensor technology, object tracking algorithms, and motion estimation techniques for autonomous systems.
Questions about Radar-Based Ego-Motion Estimation: Question 1: How does this method improve the accuracy of object tracking in dynamic environments? Answer: This method utilizes a combination of point cloud processing, outlier filtering, and velocity modeling to accurately classify and track dynamic objects in radar-based systems.
Question 2: What are the potential challenges in implementing this method in real-world applications? Answer: Challenges may include real-time processing requirements, environmental factors affecting radar performance, and the need for robust algorithms to handle complex scenarios.
Original Abstract Submitted
A method of filtering dynamic objects in radar-based ego-motion estimation includes converting measurement value at current time, measured by radar sensor, into point cloud, classifying the point cloud into points of a first object predicted as static object and points of a second object predicted as dynamic object, based on position value of dynamic object tracked at previous time, classifying the points of the first object into the points of the static object predicted as normal value and the points of the dynamic object predicted as outlier, based on outlier filtering algorithm, classifying the points of the second object into points of a candidate static object and points of a candidate dynamic object, based on velocity model of the static object, and tracking a position value of the dynamic object at current time, based on the points of the dynamic object and the points of the candidate dynamic object.
