Thippeswamy k s thippeswammy

Hi, I'm Thippeswamy K.S. 👋

Computer Vision & ML Engineer · Computer Vision · Machine Learning · Robotics Perception

I build perception systems that let vehicles and robots understand where they are and what is around them.

🔭 Now: Junior Robotics Engineer at Virya Autonomous Technologies (Sep 2025 – Present)
🧠 Focus: detection, segmentation, tracking, monocular depth, visual odometry & SLAM on real camera / LiDAR / IMU / GPS data
🚀 Ship: from labeling and training to real-time deployment with PyTorch, TensorRT, C++ and ROS 2
📄 Research: Vision-Based Odometry: Comparative Analysis on Standard and Custom Datasets for Resource-Limited Vehicle Platforms · 2026 IEEE DISCOVER, Puttur
🎓 Education: B.Tech, Electronics & Communication Engineering, GITAM (Deemed to be University), Bengaluru · CGPA 8.55 / 10
🎯 Looking for: Computer Vision, Machine Learning and robotics-perception roles

Project	What it does
InfraStructer	Dashcam + phone GPS → road-sign map checked against OpenStreetMap. C++, live at 10 Hz on a laptop GPU, 3.2 m median ATE over 33 KITTI / nuScenes / Oxford drives.	🔒 private
AutoSegmentor	SAM2 + CoTracker3 auto-labeling: annotate one frame, export YOLO detection, segmentation and pose datasets for the whole video. On PyPI.	code
Drivable-Region & Object Perception for Indian Roads	YOLOv8-Seg drivable-region and object perception for Indian roads, trained on a 45,000+ image dataset I built from 40 videos.	code
Visual Odometry Benchmark for Low-Compute Vehicles	Five monocular VO methods (feature, optical-flow, deep) compared on KITTI and a new campus dataset, on a Jetson Xavier NX. IEEE DISCOVER 2026.	code
Semantic Robot Perception	ROS 2 robot with YOLO-World open-vocabulary detection, camera–LiDAR fusion and a persistent 3D semantic map.	🔒 private

_{🔒 = private repository, code available on request. Generated from the same data as thippeswammy.github.io.}