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/magnetar-iiith/pril

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How Private Is Your RL Policy? An Inverse RL Based Analysis Framework

https://github.com/magnux/MotionGAN

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Human Motion Prediction via Spatio-Temporal Inpainting

https://github.com/mahaitongdae/safe_exp_env

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Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

https://github.com/manueldiaz96/beval

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BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving

https://github.com/manymuch/ground_normal_filter

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Towards Accurate Ground Plane Normal Estimation from Ego-Motion

https://github.com/marcelsheeny/radiate_sdk

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RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

https://github.com/marcointrovigne/WeatherDetection

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Real-Time Environment Condition Classification for Autonomous Vehicles

https://github.com/markendo/gaitforemer

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GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

https://github.com/markusschoen/mgnet

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MGNet: Monocular Geometric Scene Understanding for Autonomous Driving

https://github.com/marmotatzju/drl-based-trajectory-tracking

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DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving

https://github.com/martinferianc/quantised-bayesian-nets

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On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

https://github.com/marvinyu1995/hyctas

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Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search

https://github.com/masterhow/csflow

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CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving

https://github.com/masterhow/eventpointpose

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Exploring Event-based Human Pose Estimation with 3D Event Representations

https://github.com/masterhow/occfiner

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Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving

https://github.com/matejgrcic/Vistas-NP

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Dense open-set recognition with synthetic outliers generated by Real NVP

https://github.com/mathefuchs/pll-with-a-reject-option

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Partial-Label Learning with a Reject Option

https://github.com/mattiasegu/darth

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DARTH: Holistic Test-time Adaptation for Multiple Object Tracking

https://github.com/mattiasegu/uncertainty_estimation_deep_learning

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A General Framework for Uncertainty Estimation in Deep Learning

https://github.com/maunzzz/fine-grained-segmentation-networks

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Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

https://github.com/mauriceqch/pcc_geo_cnn_v2

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Improved Deep Point Cloud Geometry Compression

https://github.com/mauriziofilippone/deep_gp_random_features

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Deep recurrent Gaussian process with variational Sparse Spectrum approximation

https://github.com/maxiuw/uada3d

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UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps

https://github.com/mbrossar/ai-imu-dr

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AI-IMU Dead-Reckoning

https://github.com/mbzuai-oryx/agent-x

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Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks

https://github.com/mbzuai-oryx/trackingmeetslmm

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Tracking Meets Large Multimodal Models for Driving Scenario Understanding

https://github.com/mbzuai-oryx/videomolmo

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VideoMolmo: Spatio-Temporal Grounding Meets Pointing

https://github.com/mcg-nju/sparseocc

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Fully Sparse 3D Occupancy Prediction

https://github.com/mchancan/citylearn

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CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning

https://github.com/mchancan/deepseqslam

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DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition

https://github.com/med-air/FedBN

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FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

https://github.com/mediabrain-sjtu/syncnet

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Latency-Aware Collaborative Perception

https://github.com/megvii-research/cvpr2023-unidistill

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UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View

https://github.com/megvii-research/mctrack

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MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

https://github.com/megvii-research/occdepth

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OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion

https://github.com/mehdiazarafza/hybrid-reasoning

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Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving

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