Papers with Code 아카이브

Autonomous Navigation

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Autonomous navigation is the task of autonomously navigating a vehicle or robot to or around a location without human guidance.

<span style="color:grey; opacity: 0.6">( Image credit: Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/tamu-edu-students/hypertools

공식 코드

Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown Environments

https://github.com/tchittesh/fovea

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FOVEA: Foveated Image Magnification for Autonomous Navigation

https://github.com/tflinkow/fmas2024

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Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report

https://github.com/thaipduong/kernelbasedmap

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Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping

https://github.com/tinh2044/YOLO12-UnderWater

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Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation

https://github.com/tongshw/geodistill

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GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization

https://github.com/triumph123aaa/grid-augmented-vision

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Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents

https://github.com/tudelft/faith

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FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flow

https://github.com/unmannedlab/RELLIS-3D

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RELLIS-3D Dataset: Data, Benchmarks and Analysis

https://github.com/ut-amrl/coda-devkit

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Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset

https://github.com/ut-amrl/coda-models

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Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset

https://github.com/uwsbel/polar-digital

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POLAR-Sim: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover Simulation

https://github.com/uwsbel/polar-sim

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POLAR-Sim: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover Simulation

https://github.com/val-iisc/flss

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Boosting Adversarial Robustness using Feature Level Stochastic Smoothing

https://github.com/velatkilic/LISA

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Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection

https://github.com/virtualnew/mid_dataset

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MID: A Comprehensive Shore-Based Dataset for Multi-Scale Dense Ship Occlusion and Interaction Scenarios

https://github.com/vision4robotics/climrt

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Continuity-Aware Latent Interframe Information Mining for Reliable UAV Tracking

https://github.com/vita-epfl/jrdb-traj

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JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds

https://github.com/vita-epfl/social-nce

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Social NCE: Contrastive Learning of Socially-aware Motion Representations

https://github.com/wang-chen/correlation_flow

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Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators

https://github.com/wgcban/spin_roadmapper

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SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving

https://github.com/wqi/A2L

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Learning to Move with Affordance Maps

https://github.com/xiandaguo/openstereo

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OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

https://github.com/xl-sr/CAL

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Conditional Affordance Learning for Driving in Urban Environments

https://github.com/xuefengbupt/indoorobstaclediscovery-rg

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Indoor Obstacle Discovery on Reflective Ground via Monocular Camera

https://github.com/yanhua-zhang/mfaranet

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Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Network

https://github.com/ybarancan/bev_feat_stitch

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Understanding Bird's-Eye View of Road Semantics using an Onboard Camera

https://github.com/ybarancan/stsu

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Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images

https://github.com/yejimun/pas_crowdnav

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Occlusion-Aware Crowd Navigation Using People as Sensors

https://github.com/yfzhang/vehicle-motion-forecasting

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Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

https://github.com/ylwhxht/l4dr

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L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection

https://github.com/zerosansan/ros-navigation-mobile-robot

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An implementation of ROS Autonomous Navigation on Parallax Eddie platform

https://github.com/ziqipang/streamingforecasting

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Streaming Motion Forecasting for Autonomous Driving

https://github.com/zju-fast-lab/fsgp_bgk

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Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process

https://github.com/zju-fast-lab/radar-diffusion

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Towards Dense and Accurate Radar Perception Via Efficient Cross-Modal Diffusion Model

https://github.com/zlatanajanovic/SBMP_PerfDriving

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Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles

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