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/KumarRobotics/kr_autonomous_flight

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Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy

https://github.com/KumarRobotics/sloam

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Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy

https://github.com/Kun-k/Re_2_H2O

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(Re)$^2$H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning

https://github.com/Kzernobog/small_obstacle_discovery

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LiDAR guided Small obstacle Segmentation

https://github.com/LCAD-UFES/WNN-CNN-GL

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Visual Global Localization with a Hybrid WNN-CNN Approach

https://github.com/LCAD-UFES/publications-arruda-ijcnn-2019

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Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

https://github.com/LCAD-UFES/publications-tabelini-ijcnn-2019

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Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images

https://github.com/LRMPUT/segmap_vis_views

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On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM

https://github.com/LTTM/HyperFLAW

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When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather

https://github.com/LTTM/LSR

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Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation

https://github.com/Lavreniuk/SPIdepth

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SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation

https://github.com/LeeBY68/Hier-SLAM

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Hier-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting

https://github.com/Lemma1/NGSIM-interface

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High-Resolution Traffic Sensing with Autonomous Vehicles

https://github.com/Leotju/MGAN

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Mask-Guided Attention Network for Occluded Pedestrian Detection

https://github.com/Li-Jinquan/Salient-Euroc

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Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze

https://github.com/LiangZhang1996/Advanced_XLight

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Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control

https://github.com/LiangZhang1996/DataLight

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DataLight: Offline Data-Driven Traffic Signal Control

https://github.com/LiangZhang1996/QL_XLight

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Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization

https://github.com/LiliMeng/btrf

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Backtracking Regression Forests for Accurate Camera Relocalization

https://github.com/LincanLi98/Awesome-Data-Centric-Autonomous-Driving

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Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies

https://github.com/LingyuDu/SecureGaze

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SecureGaze: Defending Gaze Estimation Against Backdoor Attacks

https://github.com/Link2Link/FE_GCN

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S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection

https://github.com/LinxiFan/SECANT

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SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

https://github.com/Liz66666/SIENet

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SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud

https://github.com/LucStrater/GeneralAD

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GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features

https://github.com/LucaHermes/lightweight-motion-forecasting

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Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting

https://github.com/LucasAlegre/sumo-rl

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A Comparative Study of Algorithms for Intelligent Traffic Signal Control

https://github.com/Lukeeeeee/baconian-project

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Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning

https://github.com/Luodian/MADAN

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Multi-source Domain Adaptation for Semantic Segmentation

https://github.com/MARSLab-UMN/vi_depth_completion

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Deep Depth Estimation from Visual-Inertial SLAM

https://github.com/MI-Hussain/RVMDE

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RVMDE: Radar Validated Monocular Depth Estimation for Robotics

https://github.com/MILAB-IIT-CV/ATDN_vSLAM

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ATDN vSLAM: An all-through Deep Learning-Based Solution for Visual Simultaneous Localization and Mapping

https://github.com/MIT-SPARK/Kimera

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Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities

https://github.com/MLAI-Yonsei/CaRot

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Towards Calibrated Robust Fine-Tuning of Vision-Language Models

https://github.com/MSiam/TFSegmentation

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RTSeg: Real-time Semantic Segmentation Comparative Study

https://github.com/MSiam/video_class_agnostic_segmentation

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Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving

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