Udacity Self-Driving Car Engineer Nanodegree. Project: Unscented Kalman Filters
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快速3D点云分割论文代码(带注解):Fast segmentation of 3d point clouds for ground vehicles
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3...
Implementation of Kalman Filters - EKF and UKF
Header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3
点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle ...
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
Udacity Self-Driving Car Engineer Nanodegree. Project: Model Predictive Control
🔥3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解
An optimization-based multi-sensor state estimator
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters
A Robust and Versatile Monocular Visual-Inertial State Estimator
A flexible framework for building readable, highly optimized Kalman-like filters with C++
This is my graduation project at CMU Robotic Institute
A small collection of Kalman Filters on Lie groups