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/docf/multispectral-object-detection

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Cross-Modality Fusion Transformer for Multispectral Object Detection

https://github.com/docwza/sumolights

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An Open-Source Framework for Adaptive Traffic Signal Control

https://github.com/dongchen06/macacc

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Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control

https://github.com/dongchen06/marl_cavs

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Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic

https://github.com/dongchen06/scooterdet

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Performance Evaluation of Real-Time Object Detection for Electric Scooters

https://github.com/dongfang-steven-yang/vci-dataset-citr

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Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus

https://github.com/dongfang-steven-yang/vci-dataset-dut

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Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus

https://github.com/donghao51/multiood

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MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities

https://github.com/dongjing3309/minisam

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miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework

https://github.com/dongkwonjin/eigenlanes

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Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes

https://github.com/dongkwonjin/omr

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OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection

https://github.com/dongkwonjin/rvld

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Recursive Video Lane Detection

https://github.com/doo-do/fhld

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Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape Matching

https://github.com/doongli/awesome-implicit-nerf-slam

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How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey

https://github.com/dop0/dvpe

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DVPE: Divided View Position Embedding for Multi-View 3D Object Detection

https://github.com/dotchen/LAV

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Learning from All Vehicles

https://github.com/dotchen/LearningByCheating

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Learning by Cheating

https://github.com/dotchen/WorldOnRails

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Learning to drive from a world on rails

https://github.com/dreossi/analyzeNN

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Counterexample-Guided Data Augmentation

https://github.com/drl-casia/autonomous-driving

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Lane Change Decision-Making through Deep Reinforcement Learning

https://github.com/drosemei/rome

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RoMe: Towards Large Scale Road Surface Reconstruction via Mesh Representation

https://github.com/dsbrown1331/vav-icml

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Value Alignment Verification

https://github.com/dslrproject/dslr

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DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder

https://github.com/dsriaditya999/rgbxfusion

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RGB-X Object Detection via Scene-Specific Fusion Modules

https://github.com/dsx0511/3dmotformer

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3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking

https://github.com/dtc111111/sn-lidar

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SN-LiDAR: Semantic Neural Fields for Novel Space-time View LiDAR Synthesis

https://github.com/duke-vision/semantic-unsup-flow-release

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SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving

https://github.com/dulucas/simlpe

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Back to MLP: A Simple Baseline for Human Motion Prediction

https://github.com/duolu/CAROM

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CAROM Air -- Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos

https://github.com/dvij542/offtersim

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WROOM: An Autonomous Driving Approach for Off-Road Navigation

https://github.com/dvlab-research/deepvision3d

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A Unified Query-based Paradigm for Point Cloud Understanding

https://github.com/dvssajay/PDFNet-Pointwise-Dense-Flow-Network-for-Urban-Scene-Segmentation

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PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation

https://github.com/dystopians/secdood

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Secure On-Device Video OOD Detection Without Backpropagation

https://github.com/dyzhang09/toc3d

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Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression

https://github.com/dzungdoan6/wstta

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Weakly Supervised Test-Time Domain Adaptation for Object Detection

https://github.com/eaphan/nclr

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Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration

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