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DhyeyR-007

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This method uses unsupervised and soft self-supervision for auditory Martian terrain classification , based on data from the Perseverance Rover. Next Up, we plan to make this system completely self-supervised with martian terrain images

Planar-Endoatmospheric-Missile-Guidance

Developed a missile guidance and ballistic control system for autonomous mid-air and surface-to-air target chase and interception

MATLAB

Twilight-SLAM-Navigating-Low-Light-Environments

Twilight SLAM is unique framework augmenting the SLAM navigation frameworks with low-light image enhancement modules for navigating in dusky or extremely low-light or any illumination rendered featureless environments.

C++

Pose-Graph-SLAM

Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively

Python

OriCon3D

A Robust, light-weight and unique 3D object detection architecture providing results (better than the conventional architectures) in real-time autonomous driving scenarios

Python

6D-Pose-Estimation

Developed and implemented a regularized 6D pose estimation pipeline based on poseCNN architecture for generalized pose estimation in wild

Jupyter Notebook

Monocular-Video-based-Odometry-using-KITTI-dataset-

Python

Monocon-Robust-Autonomous-3D-Object-Detection

Python

Robot-Mapping

Developed and implemented all the occupancy mapping based sensor models for mobile robot mapping and successfully implemented the BKI Semantic mapping pipeline.

Python

DhyeyR-007/Martian-Terrain-Classification-An-Auditory-Approach

DhyeyR-007

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