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XijunKe's Projects

driving-with-llms icon driving-with-llms

PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"

drivingdiffusion icon drivingdiffusion

Layout-Guided multi-view driving scene video generation with latent diffusion model

dso icon dso

Direct Sparse Odometry

dsp-slam icon dsp-slam

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

duel icon duel

This is the implementation of the paper "DUEL: Depth visUal Ego-motion Learning for Autonomous Robot Obstacle Avoidance"

dynslam icon dynslam

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

end-to-end-driving icon end-to-end-driving

Implementation code for: End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent, IEEE Trans. Intelligent Vehicles, 2022.

eskf icon eskf

An implementation of an Error State Kalman Filter (ESKF)

eudm_planner icon eudm_planner

Implementation of the paper "Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching".

evo icon evo

Python package for the evaluation of odometry and SLAM

fast-livo icon fast-livo

A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry.

fast-planner icon fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

fast_gicp icon fast_gicp

A collection of GICP-based fast point cloud registration algorithms

fast_lio icon fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

fbow icon fbow

FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.

fcl icon fcl

Flexible Collision Library

ff-lins icon ff-lins

A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State Estimator

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