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/jianf-wang/np-semiseg

공식 코드

NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation

https://github.com/jiang-wenxiang/ipa-nerf

공식 코드

IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields

https://github.com/jiangchaokang/3dsflabelling

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3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling

https://github.com/jiangchaokang/neurogauss4d-pci

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NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation

https://github.com/jianghaoyuan1994/x-light

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X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner

https://github.com/jianglongye/implicit-tracking

공식 코드

Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild

https://github.com/jiangxb98/mwsis-plugin

공식 코드

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

https://github.com/jianzhou1212/interaction-safety-aware-motion-planning

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Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions

https://github.com/jiashunwang/MRT

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Multi-Person 3D Motion Prediction with Multi-Range Transformers

https://github.com/jiawei-mo/3d_place_recognition

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A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR Descriptors

https://github.com/jiayi-wu-umd/marvis

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MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation

https://github.com/jiayuanwang-jw/yolov8-multi-task

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You Only Look at Once for Real-time and Generic Multi-Task

https://github.com/jiayuzou2020/diffbev

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DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception

https://github.com/jiayuzou2020/hft

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HFT: Lifting Perspective Representations via Hybrid Feature Transformation

https://github.com/jieqianyu/panet

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PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation

https://github.com/jieqianyu/sgn

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Camera-based 3D Semantic Scene Completion with Sparse Guidance Network

https://github.com/jieqianyu/ssc-rs

공식 코드

SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion

https://github.com/jimmy9704/gps-glass

공식 코드

GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data

https://github.com/jimmyzou/snipper

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Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet

https://github.com/jinghanY/physicalAttackImageComposition

공식 코드

Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing

https://github.com/jingkang50/oodsurvey

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Generalized Out-of-Distribution Detection: A Survey

https://github.com/jingkang50/openood

공식 코드

Generalized Out-of-Distribution Detection: A Survey

https://github.com/jingweisong/bdis-slam

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BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery

https://github.com/jingy1yu/scalablemap

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ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction

https://github.com/jinlong17/da-detect

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Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

https://github.com/jinyuanliu-cv/segmif

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Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation

https://github.com/jinyugy21/adv-stickers_rhde

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Adversarial Sticker: A Stealthy Attack Method in the Physical World

https://github.com/jixingwu/ss-lcd

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Loop Closure Detection Based on Object-level Spatial Layout and Semantic Consistency

https://github.com/jlchen-c/occprophet

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OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner Framework

https://github.com/jlubars/RL-MPC-LaneMerging

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Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging

https://github.com/jmiemirza/dilam

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Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions

https://github.com/jmiemirza/dua

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The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

https://github.com/jmoonr/dv-3dlane

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DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation

https://github.com/jmoonr/latr

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LATR: 3D Lane Detection from Monocular Images with Transformer

https://github.com/johnsonjiang1996/awesome-vla4ad

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A Survey on Vision-Language-Action Models for Autonomous Driving

https://github.com/jokester-zzz/ssa-sc

공식 코드

Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds

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