1D localization using Bayesian Filter to locate a robot in 1D space and represent uncertainty in robot motion
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Updated
Feb 23, 2021 - Jupyter Notebook
1D localization using Bayesian Filter to locate a robot in 1D space and represent uncertainty in robot motion
PyTorch(v1.12.0) implementation of Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction.
The open source implementation of 'Offline Tracking with Object Permanence', which aims to recover the occluded vehicle trajectories and reduce the identity switches caused by occlusions.
Collection of resources we used for studding computer vision, vehicles tracking, and motion prediction
We propose to utilize Transformers as the architectural choice for predicting human motion.
Music conditioned dance prediction
Motion Prediction for Self-driving cars using Polyline-LSTM-Transformer based architecture (based on Multipath++).
Vehicle-Pedestrian Motion Prediction using Classification
Code for "Towards Explainable Multi-modal Motion Prediction using Graph Representations"
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach, AISTATS 2024.
Code for "FloMo: Tractable Motion Prediction with Normalizing Flows", Schöller et al., International Conference on Intelligent Robots and Systems (IROS), 2021
Reinforcement learning agent that actively learns physical properties (motion mechanisms) in a 2D simulated domain.
[CVPR 2023] PF-Track (3D MOT for Autonomous Driving)
Deep learning algorithm to perform motion prediction on vehicles as part of an autonomous car software stack.
This is a C++ repository containing various algorithms implemented by me for solving robotics problems
Pytorch implementation for the paper: "OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban Environment" [Neurocomputing 2024]
Code and results/visualizations for the paper "A Neural Temporal Model for Human Motion Prediction", CVPR 2019
Implementation of "MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving" for Waymo Open Motion Dataset
This repository is a paper digest of multi-agent behavior (motion / trajectory) prediction (forecasting / generation).
Code for: "Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs", ICCV2021 Workshops
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