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/jxbbb/adapt

공식 코드

ADAPT: Action-aware Driving Caption Transformer

https://github.com/jxr326/swinmcnet

공식 코드

Mirror Complementary Transformer Network for RGB-thermal Salient Object Detection

https://github.com/jzubizarreta/dsm

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Direct Sparse Mapping

https://github.com/jzuern/autograph-pub

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AutoGraph: Predicting Lane Graphs from Traffic Observations

https://github.com/kaanakan/slamp

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SLAMP: Stochastic Latent Appearance and Motion Prediction

https://github.com/kaavyarekanar/towards-a-performance-analysis-on-pre-trained-vqa-models-for-autonomous-driving

공식 코드

Towards a performance analysis on pre-trained Visual Question Answering models for autonomous driving

https://github.com/kaibrach/Moment-Propagation

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Single Shot MC Dropout Approximation

https://github.com/kaichen1998/multisiam

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MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving

https://github.com/kailaisun/indoor-depth-completion

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A Two-Stage Masked Autoencoder Based Network for Indoor Depth Completion

https://github.com/kailasdayanandan/dual_thinking

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Dual Thinking and Logical Processing -- Are Multi-modal Large Language Models Closing the Gap with Human Vision ?

https://github.com/kailliang/Lane-Change-Classification-and-Prediction-with-Action-Recognition-Networks

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Lane Change Classification and Prediction with Action Recognition Networks

https://github.com/kaist-avelab/k-lane

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K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways

https://github.com/kaist-avelab/k-radar

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K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions

https://github.com/kakaxi314/GuideNet

공식 코드

Learning Guided Convolutional Network for Depth Completion

https://github.com/kamanphoebe/motiondetection

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Optical Flow Based Motion Detection for Autonomous Driving

https://github.com/kami93/CMU-DATF

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Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding

https://github.com/kamilzywanowski/minkloc3d-si

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MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity

https://github.com/kanji95/Talk2car-Refseg

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Grounding Linguistic Commands to Navigable Regions

https://github.com/kareem-metwaly/car-api

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CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles

https://github.com/kastel-mobilitylab/attacks-on-traffic-light-detection

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Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light Detectors

https://github.com/kastel-mobilitylab/attacks-on-traffic-sign-recognition

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Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard Baselines

https://github.com/kastel-mobilitylab/traffic-light-detection

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TLD-READY: Traffic Light Detection -- Relevance Estimation and Deployment Analysis

https://github.com/kaustubhsridhar/time-series-ood

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CODiT: Conformal Out-of-Distribution Detection in Time-Series Data

https://github.com/kav-institute/semanticlidar

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Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans

https://github.com/kcyu2014/lidar-camera-robust-benchmark

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Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection

https://github.com/kemo-huang/jmodt

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Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving

https://github.com/kev-in-ta/l2e

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L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras

https://github.com/kev-in-ta/uncle-slam

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UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM

https://github.com/kevin-thu/epona

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Epona: Autoregressive Diffusion World Model for Autonomous Driving

https://github.com/kevin2431/ectlo

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ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoV

https://github.com/khaclinh/DSA4AV

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Data selection method for assessment of autonomous vehicles

https://github.com/khaclinh/fisheyepp4av

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FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera images

https://github.com/kieran514/dyna-dm

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Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps

https://github.com/kimhj709/ldae

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Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection

https://github.com/kingwmk/ganet

공식 코드

GANet: Goal Area Network for Motion Forecasting

https://github.com/kirillmouraviev/prism-topomap

공식 코드

PRISM-TopoMap: Online Topological Mapping with Place Recognition and Scan Matching

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