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/haomo-ai/superfusion

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SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation

https://github.com/haoranzhuexplorer/ad-l-jepa-release

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AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR Data

https://github.com/happinesslz/fbmnet

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Multi-Modal 3D Object Detection by Box Matching

https://github.com/happytianhao/tade

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Improving Bird's Eye View Semantic Segmentation by Task Decomposition

https://github.com/harborsarah/cafnet

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CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation

https://github.com/harborsarah/get-up

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GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling

https://github.com/hasanirtiza/Pedestron

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Generalizable Pedestrian Detection: The Elephant In The Room

https://github.com/hasibzunair/rsud20k

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RSUD20K: A Dataset for Road Scene Understanding In Autonomous Driving

https://github.com/hatins/deoe

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Detecting Every Object from Events

https://github.com/heathcliff-saku/viewfool_

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ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

https://github.com/heitorrapela/mipa

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MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection

https://github.com/hekmak/Conf-net

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Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction

https://github.com/hemangchawla/3d-groundtruth-traffic-sign-positions

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Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach

https://github.com/henggao12/mmras_plus

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Multi-modality Anomaly Segmentation on the Road

https://github.com/henryzxu/lane-verification

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Model-Agnostic Defense for Lane Detection against Adversarial Attack

https://github.com/hermannsblum/fishyscapes

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The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation

https://github.com/heyuepeng/pfllibvsp

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FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction

https://github.com/hfutml/calibration-mllm

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Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models

https://github.com/hht1996ok/admap

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ADMap: Anti-disturbance framework for reconstructing online vectorized HD map

https://github.com/hht1996ok/fastmap

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FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction Framework

https://github.com/hidayetersindursun/Imitation-Learning-for-Autonomous-Driving-Insights-from-Real-World-Testing

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Imitation Learning for Autonomous Driving: Insights from Real-World Testing

https://github.com/hirotomusiker/clrernet

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CLRerNet: Improving Confidence of Lane Detection with LaneIoU

https://github.com/hitsz-nrsl/de6d

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Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness

https://github.com/hku-mars/gs-sdf

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GS-SDF: LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and Reconstruction

https://github.com/hkust-aerial-robotics/dsp

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Trajectory Prediction with Graph-based Dual-scale Context Fusion

https://github.com/hkust-aerial-robotics/simpl

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SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

https://github.com/hnuzhy/jointbdoe

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Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding

https://github.com/hoiliu-0801/monotakd

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MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection

https://github.com/hollow-503/unim2ae

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UniM$^2$AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving

https://github.com/homothetic/topo2d

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Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors

https://github.com/hongbin98/drivegen

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DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation

https://github.com/hongfz16/DS-Net

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LiDAR-based Panoptic Segmentation via Dynamic Shifting Network

https://github.com/hoqolo/sdstrack

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Awesome Multi-modal Object Tracking

https://github.com/horizon-research/Efficient-Deep-Learning-for-Point-Clouds

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Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation

https://github.com/horizonrobotics/gump

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Solving Motion Planning Tasks with a Scalable Generative Model

https://github.com/houyon/online-distillation-cl

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Online Distillation with Continual Learning for Cyclic Domain Shifts

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