dmame Goto Github PK

adapt

This repository is an official implementation of ADAPT: Action-aware Driving Caption Transformer, accepted by ICRA 2023.

apriltag_robot_pose

Robot localization using AprilTag markers.

awesome-model-compression-and-acceleration

ba_demo_ceres

Bundle adjustment demo using Ceres Solver, with customized cost function and local parameterization on SE(3)

bevdepth

Official code for BEVDepth.

bevdet

Official code base of the BEVDet series .

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

calibration_zhangzhengyou_method

Calibrate the camera with ZhangZhengyou method (in both distortion case and no distortion case)

cape

(CVPR2023) CAPE: Camera View Position Embedding for Multi-View 3D Object Detection

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centerpoint

cerebro

Intelligent place recognition module for vins-fusion

ceres_sandbox

My small examples of teaching myself ceres solver

cmt

Official implementation of paper "Cross Modal Transformer: Towards Fast and Robust 3D Object Detection"

costmap_2d-cuda

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

dbow3

Improved version of DBow2

deformable-convnets

Deformable Convolutional Networks

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

densetnt

detr

End-to-End Object Detection with Transformers

detr3d

executive_smach

A procedural python-based task execution framework with ROS integration.

fast-bev

Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fisheye-distortion

Apply a fisheye distortion to rendered images using distortion coefficients [k1, k2, k3, k4]

g2o_ba_example

An easy example of doing bundle adjustment within two images using g2o.

graphslam_tutorials_code

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.