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/opengvlab/unihcp

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UniHCP: A Unified Model for Human-Centric Perceptions

https://github.com/openlka/openlka

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OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles

https://github.com/openperceptionx/hdgt

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HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

https://github.com/openvinotoolkit/training_extensions

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ASL Recognition with Metric-Learning based Lightweight Network

https://github.com/oravus/DeltaDescriptors

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Delta Descriptors: Change-Based Place Representation for Robust Visual Localization

https://github.com/oravus/seqNet

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SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition

https://github.com/orlitany/Cloud_dictionary

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Cloud Dictionary: Sparse Coding and Modeling for Point Clouds

https://github.com/os-hxfan/bayesnn_fpga

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When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA

https://github.com/os-hxfan/mcme_fpga_acc

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Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA

https://github.com/oscarhuangwind/drl-transformer-simtoreal-navigation

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Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation

https://github.com/oskarnatan/deepipc

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DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments

https://github.com/oskarnatan/deepipcv2

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DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle

https://github.com/oskarnatan/end-to-end-driving

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End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent

https://github.com/othmanela/certified_segmentation

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Towards Better Certified Segmentation via Diffusion Models

https://github.com/ov2slam/ov2slam

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OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications

https://github.com/owen-liuyuxuan/visionfactory

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Scalable Vision-Based 3D Object Detection and Monocular Depth Estimation for Autonomous Driving

https://github.com/ozzyou/3d-avs

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3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation

https://github.com/p-shekhar/adversarial-patch-transferability

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Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving

https://github.com/pagand/e2etransfuser

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LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning

https://github.com/pandapan01/evssc

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Event-aided Semantic Scene Completion

https://github.com/pandas-team/autonomous-vehicle-environment-perception

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An intelligent modular real-time vision-based system for environment perception

https://github.com/panmt/iso-dream

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Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models

https://github.com/panmt/mbrl_with_isolated_imaginations

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Model-Based Reinforcement Learning with Isolated Imaginations

https://github.com/passerer/srlane

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Sketch and Refine: Towards Fast and Accurate Lane Detection

https://github.com/pasta41/lml-2020

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Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems

https://github.com/pastifra/TiROD_code

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Tiny Robotics Dataset and Benchmark for Continual Object Detection

https://github.com/patchadversarialattacks/patchadversarialattacks

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Physical Passive Patch Adversarial Attacks on Visual Odometry Systems

https://github.com/patrik-ha/explainable-minichess

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Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts

https://github.com/pay246-git468/radarnext

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RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar

https://github.com/peakpang/ugp

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Unlocking Generalization Power in LiDAR Point Cloud Registration

https://github.com/pedro-morgado/nettailor

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NetTailor: Tuning the Architecture, Not Just the Weights

https://github.com/pedrormconde/uncertainty_calibration_object_detection

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A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection

https://github.com/peidongli/ssr

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Does End-to-End Autonomous Driving Really Need Perception Tasks?

https://github.com/pengtaojiang/tsp6k

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Traffic Scene Parsing through the TSP6K Dataset

https://github.com/pengwangucla/DeLS-3D

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The ApolloScape Open Dataset for Autonomous Driving and its Application

https://github.com/pengxuanyang/uncad

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UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty

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