xijunke

aerodynamic_force_stick_figure

aerodynamic_force_stick_figure

ConcepDes_FWMAV_delta

Conceptual-design-and-application-of-insect-bioinspired-FWMAV

Conceptual-design-and-application-of-insect-bioinspired-FWMAV

Bio-insect flapping wing micro aerial vehicle (FWMAV) is a kind of centimeter-scale air-flying robot which imitates the flapping-wing motion pattern of flying insects in order to realize flying ability and agile maneuverability similar to flapping-winged flying insects. Because of its future broad application prospects in the field of military and civilian, at present, the development of bio-insect FWMAV has become a hot research topic of some important scientific research institutions and units at home and abroad.

HoverEnergyConsumptionOptimizations_WGP_WKP

Wing geometry and kinematic parameters optimization of flapping wing hovering flight for minimum energy

HoverWingbeatDynamics

The numerical solution for flapping wing hovering wingbeat dynamics

hybrid_GA_fminsearch_WGP_7_4_fixed_C_F_original

hybrid_GA_fminsearch_WGP_7_4_fixed_C_F_original

kinect-fusion

A reimplementation of the original KinectFusion paper

KinectFusion-2

PiezoelectricActuator_for_FWMAV

For the piezoelectric-driven Flapping Wing Micro Aerial vehicle (FWMAV), the optimal design and theoretical calculation of the curved double-cantilever piezoelectric actuator and the torsional piezoelectric actuator were carried out.

Transmission_drive_mechanism_for_FWMAV

For the piezoelectric-driven Flapping Wing Micro Aerial vehicle (FWMAV), the optimal design and theoretical calculation of the planar flexible four-link transmission mechanism were carried out.

xijunke/argoverse-api

Official GitHub repository for Argoverse dataset

xijunke/bevfusion_ICRA23

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

xijunke/BEVPerception-Survey-Recipe

Awesome BEV perception papers and cookbook for achieving SOTA results

xijunke/cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

xijunke/Deformable-DETR

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

xijunke/End-to-end-Autonomous-Driving

All you need for End-to-end Autonomous Driving

xijunke/FAST-LIVO

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

xijunke/grok-1

Grok open release

xijunke/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.

xijunke/InternImage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

xijunke/Lanelet2

Map handling framework for automated driving

xijunke/LaneSegNet

[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving

xijunke/MapTR

[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

xijunke/maptracker

Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping"

xijunke/MapUncertaintyPrediction

[CVPR 2024 Oral] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

xijunke/MapVR

xijunke/MGMap

[CVPR2024] The code for "MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction"

xijunke/mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

xijunke/neural_map_prior

The official implementation of the CVPR2023 paper titled “Neural Map Prior for Autonomous Driving”.

xijunke/nuplan-devkit

The devkit of the nuPlan dataset.

xijunke/nuscenes-devkit

The devkit of the nuScenes dataset.

xijunke/OpenLane-V2

[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving

xijunke/OrienterNet

Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"

xijunke/P-MapNet

xijunke/rust

Empowering everyone to build reliable and efficient software.

xijunke/sparse-gslam

Code for paper Efficient 2D Graph SLAM for Sparse Sensing

xijunke/ThinkTwice

[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.

xijunke/TopoNet

Topology Reasoning for Scene Perception in Autonomous Driving

xijunke/transfuser

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

xijunke/VAD

[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving