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/yuliangguo/Pytorch_Generalized_3D_Lane_Detection

공식 코드

Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection

https://github.com/yulin1004/mtd

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MTD: Multi-Timestep Detector for Delayed Streaming Perception

https://github.com/yulinzhang/mitc-larg

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Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction

https://github.com/yumu-173/siamese-detr

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Siamese-DETR for Generic Multi-Object Tracking

https://github.com/yunfengdiao/Skeleton-Robustness-Benchmark

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TASAR: Transfer-based Attack on Skeletal Action Recognition

https://github.com/yungecui/bow3d

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BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM

https://github.com/yunjinli/SADG-SegmentAnyDynamicGaussian

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SADG: Segment Any Dynamic Gaussian Without Object Trackers

https://github.com/yunshihuang/pmcnet

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Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling

https://github.com/yurongyou/asyncdepth

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Better Monocular 3D Detectors with LiDAR from the Past

https://github.com/yurongyou/hindsight

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Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception

https://github.com/yurongyou/modest

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Learning to Detect Mobile Objects from LiDAR Scans Without Labels

https://github.com/yurongyou/rote-da

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Unsupervised Adaptation from Repeated Traversals for Autonomous Driving

https://github.com/yutongwangbit/voom

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VOOM: Robust Visual Object Odometry and Mapping using Hierarchical Landmarks

https://github.com/yvanliang/DriveEditor

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DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes

https://github.com/yvanyin/drivingworld

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DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

https://github.com/yvanyin/goalflow

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GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving

https://github.com/ywangeq/PointSeg

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PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud

https://github.com/ywu0912/teamcode

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

https://github.com/ywyeli/unidrive

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UniDrive: Towards Universal Driving Perception Across Camera Configurations

https://github.com/yxzhang15/pcr

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Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy

https://github.com/yydsok/oparl

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Efficient Reinforcement Learning via Decoupling Exploration and Utilization

https://github.com/yzichen/mmlanedet

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DALNet: A Rail Detection Network Based on Dynamic Anchor Line

https://github.com/yzichen/polarbevdet

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PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-View

https://github.com/z-x-yang/segment-and-track-anything

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Segment and Track Anything

https://github.com/zafirshi/panovpr

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PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic View

https://github.com/zahrag/BRLVBVC

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A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control

https://github.com/zaidtahirbutt/Situation-Coverage-based-AV-Testing-Framework-in-CARLA

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Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA

https://github.com/zaplm/driverattention

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Towards Robust Unsupervised Attention Prediction in Autonomous Driving

https://github.com/zarhult/hsda

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HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation

https://github.com/zc-zhao/drivemonkey

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Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving

https://github.com/zcchenvy/CIL-DDQN

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Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

https://github.com/zdzhaoyong/GSLAM

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GSLAM: A General SLAM Framework and Benchmark

https://github.com/zehuichen123/autoalignv2

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AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection

https://github.com/zeligism/padpaf

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PaDPaF: Partial Disentanglement with Partially-Federated GANs

https://github.com/zeng-ziyin/LACV_Net

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LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLAD

https://github.com/zenseact/zod

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Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving

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