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/OPIXray-author/OPIXray

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Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module

https://github.com/Oghma/sns-lstm

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Social and Scene-Aware Trajectory Prediction in Crowded Spaces

https://github.com/Omid-Nejati/Locality-iN-Locality

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Robust Transformer with Locality Inductive Bias and Feature Normalization

https://github.com/OpenDriveLab/DetAny3D

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Detect Anything 3D in the Wild

https://github.com/OpenDriveLab/LaneSegNet

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LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

https://github.com/OpenDriveLab/OpenLane-V2

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OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

https://github.com/OpenDriveLab/PersFormer_3DLane

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PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

https://github.com/OpenPerceptionX/TCP

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Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

https://github.com/OrangeSodahub/CRLFnet

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RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous Driving

https://github.com/Owen-Liuyuxuan/visualDet3D

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Ground-aware Monocular 3D Object Detection for Autonomous Driving

https://github.com/Ozzyz/carla-data-export

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Multimodal 3D Object Detection from Simulated Pretraining

https://github.com/PDillis/guiding-e2e

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Guiding Attention in End-to-End Driving Models

https://github.com/PJLab-ADG/DiLu

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DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

https://github.com/PJLab-ADG/LimSim

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LimSim: A Long-term Interactive Multi-scenario Traffic Simulator

https://github.com/PJLab-ADG/driveLikeAHuman

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Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

https://github.com/PRBonn/semantic-kitti-api

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SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

https://github.com/PX-CPS/reachability-analysis-of-PWA-systems

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Data-Driven Reachability Analysis for Piecewise Affine Systems

https://github.com/PaddlePaddle/PaddleSeg

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PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation

https://github.com/Passerby/right-of-way-rl

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OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous Vehicles

https://github.com/Peterbotliang/NEBPMOT

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Neural Enhanced Belief Propagation for Multiobject Tracking

https://github.com/PhyllisH/NMMP

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Collaborative Motion Prediction via Neural Motion Message Passing

https://github.com/PrajwalKoirala/LSPC-Safe-Offline-RL

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Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning

https://github.com/PreCyseGroup/Feedback-Linearized-MPC-for-self-driving-cars

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A Feedback Linearized Model Predictive Control Strategy for Input-Constrained Self-Driving Cars

https://github.com/QingyongHu/SoTA-Point-Cloud

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Deep Learning for 3D Point Clouds: A Survey

https://github.com/Qjizhi/GenStereo

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GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised Matching

https://github.com/QuintonQu/gaussian-splatting-with-depth

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Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion

https://github.com/RAufschlaeger/cRID

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Following the Clues: Experiments on Person Re-ID using Cross-Modal Intelligence

https://github.com/Rabbytr/g2p-tsc

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Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control

https://github.com/Radar-Camera-Fusion/Awesome-Radar-Camera-Fusion

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Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

https://github.com/Radar-Camera-Fusion/Awesome-Radar-Perception

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Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review

https://github.com/RituYadav92/Radar-RGB-Attentive-Multimodal-Object-Detection

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Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles

https://github.com/RoboticExplorationLab/ALGAMES.jl

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ALGAMES: A Fast Solver for Constrained Dynamic Games

https://github.com/RoboticExplorationLab/LUCIDGames.jl

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LUCIDGames: onLine UnsCented Inverse Dynamic Games forAdaptive Trajectory Prediction and Planning

https://github.com/RoboticsBUT/Brno-Urban-Dataset

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Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping Tasks

https://github.com/RobustStabilityGuaranteeRL/RobustStabilityGuaranteeRL

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$H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee

https://github.com/Rock-100/MonoDet

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Geometry-based Distance Decomposition for Monocular 3D Object Detection

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