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[ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Pytorch Implementation of Deep Kalman Filter
Recursive Bayesian Estimation (Sequential / Online Inference)
Unscented Kalman Filtering on (Parallelizable) Manifolds (UKF-M)
Computation-Aware Kalman Filtering and RTS Smoothing
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
OWL: A generic method to robustly fit probabilistic models
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic
Python implementations of state estimation and SLAM algorithms in Probabilistic Robotics.
Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Journal on Mathematics of Data Science (SIMODS)
Vehicle State Estimation using Error-State Extended Kalman Filter
Accompanying code for "State Estimation of a Physical System without Governing Equations"
Data Assimilation with Python: a Package for Experimental Research
PyTorch Tutorial for Deep Learning Researchers
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Object detection GUI based on PaddleDetection(基于PaddleDetection的目标检测GUI框架)
Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022
Slip-Based Autonomous ZUPT through Gaussian Process to Improve Proprioceptive Localization
Improved Planetary Rover Inertial Navigation and Wheel Odometry Performance through Periodic Use of Zero-Type Constraint