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/larsdoorenbos/ccdm-stochastic-segmentation

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Stochastic Segmentation with Conditional Categorical Diffusion Models

https://github.com/ldkong1205/LaserMix

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Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving

https://github.com/ldkong1205/Robo3D

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FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

https://github.com/ldkong1205/conda

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ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation

https://github.com/ldkong1205/robodepth

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RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

https://github.com/ldtho/pifenet

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Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network

https://github.com/learn-to-race/l2r

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Learn-to-Race: A Multimodal Control Environment for Autonomous Racing

https://github.com/leob03/mdmp

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MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty

https://github.com/leolyj/dca-srsfe

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Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

https://github.com/leolyliu/core4d-instructions

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CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement

https://github.com/letian-wang/asaprl

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Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

https://github.com/lgsvl/simulator

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LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving

https://github.com/lhl881210/visual-vertical-estimation-for-6-dof-svc-model

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Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility Vehicles

https://github.com/li-zn-h/simworld

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SimWorld: A Unified Benchmark for Simulator-Conditioned Scene Generation via World Model

https://github.com/liangp/mcstn-3dsot

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Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking

https://github.com/liat-s/radar_occupancy_grid

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Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation

https://github.com/lichenyang-github/longshortnet

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LongShortNet: Exploring Temporal and Semantic Features Fusion in Streaming Perception

https://github.com/lidar-perception/lidar-cs

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LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection

https://github.com/lilac-lee/fastkernelsf

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Fast Kernel Scene Flow

https://github.com/lilac-lee/fastnsf

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Fast Neural Scene Flow

https://github.com/lilac-lee/neural_scene_flow_prior

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Neural Scene Flow Prior

https://github.com/linbaiwpi/RoadNet-RT

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RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road Segmentation

https://github.com/linfunster/pp-til

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PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning

https://github.com/linh-gist/ms-glmb-nuScenes

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3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous Driving

https://github.com/linkon87/exploring-diversity-based-active-learning-for-3d-object-detection-in-autonomous-driving

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Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving

https://github.com/linshan-bin/occnerf

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OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments

https://github.com/linxin0/low_light_rainy

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Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the Dark

https://github.com/linxuewu/sparse4d

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Sparse4D v3: Advancing End-to-End 3D Detection and Tracking

https://github.com/lisusdaniil/mm_masking

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Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights

https://github.com/liujia99/M3SOT

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M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking

https://github.com/liuliu-55/rofusion

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ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion

https://github.com/liuxueyi/reasonplan

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ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving

https://github.com/liuyangme/sota-3dhpe-hmr

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Deep learning for 3D human pose estimation and mesh recovery: A survey

https://github.com/liuyi1989/pwrf

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Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding

https://github.com/liuyuqi123/complexurbanscenarios

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A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios

https://github.com/liuzuxin/dsrl

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Datasets and Benchmarks for Offline Safe Reinforcement Learning

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