dhyeyr-007 Goto Github PK

6d-pose-estimation

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

autonomous-road-lane-detection

breadth-first-search-and-depth-first-search-extensive-implementation-

Path Planning extensive implementation from scratch

causality-cv-repository

A curated list of Causality in Computer Vision

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

control-systems-autonomous-vehicles-

martian-terrain-classification-an-auditory-approach

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

mobile-robot-localization

Wrote all filter-based mobile robot localization algorithms from scratch and put them under one roof i.e. here, I have (also) developed an ecosystem to bind any localization filter based python script with a customized robot motion framework in ROS.

monocon-robust-autonomous-3d-object-detection

monocular-video-based-odometry-using-kitti-dataset-

neural-style-transfer

openstl

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

oricon3d

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

planar-endoatmospheric-missile-guidance

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

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

robot-mapping

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

rotation-scaling-translation

season-adaptation-neural-transfer

Regularized and extrapolative season-to-season transfer for scene adaptation

sparse-optical-flow

technical-interview

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.