Company Filing History:
Years Active: 2022-2023
Title: Innovations by Arun C S Kumar
Introduction
Arun C S Kumar is a notable inventor based in Milpitas, CA (US). He has made significant contributions to the field of object detection and ground surface segmentation using advanced technologies. With a total of 3 patents to his name, Kumar continues to push the boundaries of innovation in his area of expertise.
Latest Patents
One of his latest patents is titled "Object detection using local (ground-aware) adaptive region proposals on point clouds." This invention involves a method for object detection in a Light Detection And Ranging (LiDAR) point cloud. The method includes placing a plurality of anchor points in a two-dimensional Bird's Eye View (BEV) of spatial points, extracting features from the BEV, proposing regions for object detection, and performing detections on the anchor points.
Another significant patent is "Real-time ground surface segmentation algorithm for sparse point clouds." This invention outlines a method for ground surface segmentation on sparse LiDAR point clouds. The process includes reading a LiDAR point cloud, voxelizing it to create a three-dimensional representation, constructing a maximum height map, performing minimum filtering, and classifying spatial points as ground or non-ground points.
Career Highlights
Arun C S Kumar is currently employed at Nio Technology (Anhui) Co., Ltd. His work focuses on leveraging LiDAR technology to enhance object detection and ground surface analysis. His innovative approaches have positioned him as a key player in the field of autonomous systems and robotics.
Collaborations
Kumar collaborates with talented individuals such as Disha Ahuja and Ashwath Aithal. Their combined expertise fosters a creative environment that drives innovation and technological advancement.
Conclusion
Arun C S Kumar's contributions to the field of object detection and ground surface segmentation highlight his role as a leading inventor. His patents reflect a commitment to advancing technology and improving the capabilities of autonomous systems.