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/RomanFoell/DRGP-VSS

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Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation

https://github.com/RonMcKay/OODRetrieval

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Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation

https://github.com/RuijieZhu94/EC-Depth

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EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes

https://github.com/SAIC-Vision/WS-3D-Lane

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WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels

https://github.com/SCP-CN-001/trajectory_dataset_support

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Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making

https://github.com/SGPHD/E-Scooter_Rider_Detection

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E-Scooter Rider Detection and Classification in Dense Urban Environments

https://github.com/SHI-Labs/3D-Point-Cloud-Learning

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Deep Learning for 3D Point Cloud Understanding: A Survey

https://github.com/SHi-ON/ManeuverGPT

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ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers

https://github.com/SRainGit/CAE-LO

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CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

https://github.com/SUTDCV/SUTD-TrafficQA

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SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

https://github.com/SUTDCV/UAV-Human

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UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

https://github.com/SaeedRahmani/Unsignalized_AV_HV

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Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed-Human-Automated Traffic

https://github.com/SamuelMallick/hybrid-vehicle-platoon

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A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning

https://github.com/SeasonDepth/SeasonDepth

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SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments

https://github.com/SehwanChoi0307/Mask2Map

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Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks

https://github.com/Sekeh-Lab/FogGuard

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FogGuard: guarding YOLO against fog using perceptual loss

https://github.com/SenseRoboticsLab/AQUA-SLAM

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AQUA-SLAM: Tightly-Coupled Underwater Acoustic-Visual-Inertial SLAM with Sensor Calibration

https://github.com/SeokjuLee/VPGNet

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VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition

https://github.com/Shathe/3D-MiniNet

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3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

https://github.com/Shawn-Shan/trapdoor

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Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks

https://github.com/ShiQiu0419/attentions_in_3D_detection

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Investigating Attention Mechanism in 3D Point Cloud Object Detection

https://github.com/Shorya-Sharma/Semantic-Segmentation-for-Urban-Scene-Images

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Semantic Segmentation for Urban-Scene Images

https://github.com/ShuangLI59/person_search

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Joint Detection and Identification Feature Learning for Person Search

https://github.com/Shuijing725/VAE_trait_inference

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Learning to Navigate Intersections with Unsupervised Driver Trait Inference

https://github.com/Shuyu-XJTU/APTM

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Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark

https://github.com/SilinMeng0510/llm-astar

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LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning

https://github.com/SilvioGiancola/ShapeCompletion3DTracking

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Leveraging Shape Completion for 3D Siamese Tracking

https://github.com/Simula-COMPLEX/pure

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Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving

https://github.com/Sirui-Xu/DuMMF

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Stochastic Multi-Person 3D Motion Forecasting

https://github.com/Skylark0924/Gamma_Reward

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Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal Control

https://github.com/SlamMate/vSLAM-on-FrodoBots-2K

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An Earth Rover dataset recorded at the ICRA@40 party

https://github.com/SnowCarter/Intensity_based_LiDAR_SLAM

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Real-Time Simultaneous Localization and Mapping with LiDAR intensity

https://github.com/Sourajit2110/DilatedSkipTotalRecall

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Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks

https://github.com/Stanford-ILIAD/CARLO

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Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

https://github.com/StanfordASL/MATS

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MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

https://github.com/StanfordASL/Trajectron

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The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.