Nambiar, Kamal Gopikrishnan

I work in the field of Embedded Perception and my research primarily focuses on the algorithms for processing LiDAR point cloud data. LiDAR point clouds are three-dimensional representations of the surrounding environment, acquired using specialized sensors, and find applications in various fields including remote sensing and autonomous driving. The goal is to develop methods for preprocessing, augmentation, and multimodal sensor fusion for downstream perception tasks in autonomous driving such as object detection and object tracking.

I offer theses in the field of intelligent video analytics at any time.

Master’s Theses

• “Performance Analysis of 3D Object Detection Algorithms using the CARLA Simulated Dataset”
• “Investigation of Deep Learning Models for 3D Shape Similarity Matching and Efficient CAD Model Retrieval Algorithms”

Research Internships and Project Theses

• “3D Point Cloud Segmentation based on Normal Feature and Deep Learning”

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