Papers with Code 아카이브

Autonomous Vehicles

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 15
평가표: 1
보존된 평가 기록: 2

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

<span style="color:grey; opacity: 0.6">( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )</span>

코드

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

https://github.com/WilsonMqz/CoA

공식 코드

CoA: Chain-of-Action for Generative Semantic Labels

https://github.com/WoojuLee24/OA-DG

공식 코드

Object-Aware Domain Generalization for Object Detection

https://github.com/WreckItTim/rl_drone

공식 코드

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation

https://github.com/Xiangxu-0103/FRNet

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FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

https://github.com/XingangPan/SCNN

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Spatial As Deep: Spatial CNN for Traffic Scene Understanding

https://github.com/XunshanMan/SoSLAM

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SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints

https://github.com/Yan-Xia/VPC-Net

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VPC-Net: Completion of 3D Vehicles from MLS Point Clouds

https://github.com/YangZhang4065/AdaptationSeg

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Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes

https://github.com/Yaozhuwa/FisheyeSeg

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Universal Semantic Segmentation for Fisheye Urban Driving Images

https://github.com/YeLyuUT/MSDNet

공식 코드

UAVid: A Semantic Segmentation Dataset for UAV Imagery

https://github.com/YingdaXia/SynthCP

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Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

https://github.com/YinminZhang/MonoGeo

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Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection

https://github.com/Yiru-Jiao/UnifiedConflictDetection

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A Unified Probabilistic Approach to Traffic Conflict Detection

https://github.com/YizhouXu-THU/CLIC

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Continual Driving Policy Optimization with Closed-Loop Individualized Curricula

https://github.com/YuePanEdward/MULLS

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MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square

https://github.com/YujunHuang063/3D-GP-LMVIC

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3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors

https://github.com/Yushgoel/AdversarialAttack

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An Empirical Review of Adversarial Defenses

https://github.com/Yzichen/FlashOCC

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FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

https://github.com/ZHUANGHP/Analytic-continual-learning

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Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task

https://github.com/ZJU-FAST-Lab/OPNet

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Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments

https://github.com/ZJULearning/resa

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RESA: Recurrent Feature-Shift Aggregator for Lane Detection

https://github.com/ZRandomize/MatrixVT

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MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception

https://github.com/ZexinLi0w0/R3

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R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics

https://github.com/Zhao-Tian-yi/RSDet

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Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection

https://github.com/ZhouZijie77/LCPR

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LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition

https://github.com/ZhouZijie77/SegLocNet

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SegLocNet: Multimodal Localization Network for Autonomous Driving via Bird's-Eye-View Segmentation

https://github.com/Zhourobotics/Query-3DGS-LLM

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Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussian

https://github.com/ZikangZhou/QCNet

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QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction

https://github.com/ZwwWayne/mmMOT

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Robust Multi-Modality Multi-Object Tracking

https://github.com/a-pru/emp

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Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed

https://github.com/a1600012888/mutr3d

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MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries

https://github.com/aalto-intelligent-robotics/uncertain_turtlebot_navigation

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Deep Network Uncertainty Maps for Indoor Navigation

https://github.com/aalto-mobile-robotics-group/ptinet

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Context-aware Multi-task Learning for Pedestrian Intent and Trajectory Prediction

https://github.com/aaltovision/cl_hscnet

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Continual Learning for Image-Based Camera Localization

https://github.com/abastola0/cpad

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Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication

https://github.com/abdo-eldesokey/nconv

공식 코드

Confidence Propagation through CNNs for Guided Sparse Depth Regression

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