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/yahidar/transradar

공식 코드

TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation

https://github.com/yan99033/CNN-SVO

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CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction

https://github.com/yancie-yjr/StreamYOLO

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Real-time Object Detection for Streaming Perception

https://github.com/yanconglin/icp-flow

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ICP-Flow: LiDAR Scene Flow Estimation with ICP

https://github.com/yangchen1997/wcdt

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WcDT: World-centric Diffusion Transformer for Traffic Scene Generation

https://github.com/yanglei18/Lite-FPN

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Lite-FPN for Keypoint-based Monocular 3D Object Detection

https://github.com/yanglei18/mix-teaching

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Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection

https://github.com/yanglei18/sgv3d

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SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object Detection

https://github.com/yanglindeng/mmdrfuse

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MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion

https://github.com/yangt1013/speinet

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Video Deblurring by Sharpness Prior Detection and Edge Information

https://github.com/yangxue0827/h2rbox-jittor

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H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

https://github.com/yangxue0827/h2rbox-mmrotate

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H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

https://github.com/yangyanggirl/bos

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Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

https://github.com/yanhua-zhang/mfaranet

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Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Network

https://github.com/yanmin-wu/EAO-SLAM

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EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association

https://github.com/yannickycpan/reproducerl

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Understanding and Mitigating the Limitations of Prioritized Experience Replay

https://github.com/yanty123/DrivingSphere

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DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation

https://github.com/yanx27/2dpass

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2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds

https://github.com/yanx27/JS3C-Net

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Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion

https://github.com/yaorong0921/driver-gaze-yolov5

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Where and What: Driver Attention-based Object Detection

https://github.com/yaotingwangofficial/awesome-mcot

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Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

https://github.com/yaozhuwa/eva-flow

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Towards Anytime Optical Flow Estimation with Event Cameras

https://github.com/ybarancan/bev_feat_stitch

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Understanding Bird's-Eye View of Road Semantics using an Onboard Camera

https://github.com/ybarancan/stsu

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Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images

https://github.com/ydhongHIT/DDRNet

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Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

https://github.com/yding5/AdaptiveBinning

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Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off

https://github.com/yejimun/pas_crowdnav

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Occlusion-Aware Crowd Navigation Using People as Sensors

https://github.com/yenchenlin/rl-attack-detection

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Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight

https://github.com/yfzhang/vehicle-motion-forecasting

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Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

https://github.com/ygjwd12345/BiMix

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Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation

https://github.com/yhanCao/NeOF-HybridCamOpt

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Neural Observation Field Guided Hybrid Optimization of Camera Placement

https://github.com/yhli123/pretraining_on_synthetic_driving_data_for_trajectory_prediction

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Pre-training on Synthetic Driving Data for Trajectory Prediction

https://github.com/yiduohao/radical

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Bootstrapping Autonomous Driving Radars with Self-Supervised Learning

https://github.com/yifanlu0227/chatsim

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Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

https://github.com/yihongsun/mod-uv

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MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos

https://github.com/yiming107/l3d_loop_closure

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Loop closure detection using local 3D deep descriptors

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