Papers with Code 아카이브

Autonomous Driving

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 6
평가표: 4
보존된 평가 기록: 23

Autonomous driving is the task of driving a vehicle 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: 0.5">(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)</span>

코드

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

https://github.com/cvml-cfu/ecam

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ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting

https://github.com/cxliu0314/colmdriver

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CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving

https://github.com/cxy1997/3D_adapt_auto_driving

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Train in Germany, Test in The USA: Making 3D Object Detectors Generalize

https://github.com/cxy1997/DiffuBox

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DiffuBox: Refining 3D Object Detection with Point Diffusion

https://github.com/cyprienquemeneur/fedpylot

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FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles

https://github.com/d1024choi/pathgan_pytorch

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PathGAN: Local Path Planning with Attentive Generative Adversarial Networks

https://github.com/d1024choi/progressivequeryrefinenet

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Progressive Query Refinement Framework for Bird's-Eye-View Semantic Segmentation from Surrounding Images

https://github.com/dachengxiaocheng/NDT-Transformer

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NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation

https://github.com/dadecampo/SafeRLAUV

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Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning

https://github.com/dailyl/sim2real_autonomous_vehicle

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A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving

https://github.com/daniel-bogdoll/ad-datasets

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Ad-datasets: a meta-collection of data sets for autonomous driving

https://github.com/daniel-bogdoll/anomaly_datasets

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Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey

https://github.com/daniel-bogdoll/model_contradictions

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Complementary Learning for Real-World Model Failure Detection

https://github.com/daniel-bogdoll/unknown_objects_roads

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Multimodal Detection of Unknown Objects on Roads for Autonomous Driving

https://github.com/daniel-xsy/bev-attack

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On the Adversarial Robustness of Camera-based 3D Object Detection

https://github.com/daniellli/lion

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LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data

https://github.com/daniellli/pad

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LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data

https://github.com/danielming123/inversematrixvt3d

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InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction

https://github.com/danielming123/occfusion

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OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction

https://github.com/danjos95/dade

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DaDe: Delay-adaptive Detector for Streaming Perception

https://github.com/daooshee/HLA-Face-Code

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HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

https://github.com/darrenjkt/SEE-VCN

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Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection

https://github.com/dasgringuen/assetto_corsa_gym

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A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data

https://github.com/data-and-decision-lab/defix

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DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving

https://github.com/data-and-decision-lab/self-improving-RL

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Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms

https://github.com/datadrivenwheels/pcd_python

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Perception Characteristics Distance: Measuring Stability and Robustness of Perception System in Dynamic Conditions under a Certain Decision Rule

https://github.com/datongjie/bevspread

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BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection

https://github.com/datvuthanh/HybridNets

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HybridNets: End-to-End Perception Network

https://github.com/davezdeng8/tlfpad

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Temporal LiDAR Frame Prediction for Autonomous Driving

https://github.com/davidqiu1993/Hackauton2018_DolanWins

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Adaptive Performance Assessment For Drivers Through Behavioral Advantage

https://github.com/davin-qi530/dfvo

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DFVO: Learning Darkness-free Visible and Infrared Image Disentanglement and Fusion All at Once

https://github.com/davyneven/SpatialEmbeddings

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Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

https://github.com/dd1github/xai_for_imbalanced_learning

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Interpretable ML for Imbalanced Data

https://github.com/decisionforce/mmTransformer

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Multimodal Motion Prediction with Stacked Transformers

https://github.com/decisionforce/pgdrive

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Improving the Generalization of End-to-End Driving through Procedural Generation

https://github.com/decisionforce/pgdrive-generalization-paper

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Improving the Generalization of End-to-End Driving through Procedural Generation

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