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/hkust-drive-ai-lab/follownet

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FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling

https://github.com/hlwang1124/GMRPD

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Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms

https://github.com/hlwang1124/SNE-RoadSeg

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SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection

https://github.com/hlwang1124/SSLG

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Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs

https://github.com/hlzz/DeepMatchVO

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Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

https://github.com/hncszyq/ShadowAttack

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Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon

https://github.com/hnuzhy/jointbdoe

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Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding

https://github.com/hoiliu-0801/monotakd

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MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection

https://github.com/hollow-503/unim2ae

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UniM$^2$AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving

https://github.com/holzbock/st_mlp

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A Spatio-Temporal Multilayer Perceptron for Gesture Recognition

https://github.com/homothetic/topo2d

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Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors

https://github.com/hongbin98/drivegen

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DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation

https://github.com/hongfz16/DS-Net

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LiDAR-based Panoptic Segmentation via Dynamic Shifting Network

https://github.com/hoqolo/sdstrack

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Awesome Multi-modal Object Tracking

https://github.com/horizon-research/Efficient-Deep-Learning-for-Point-Clouds

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Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation

https://github.com/horizon-research/pointcloud-pipeline

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Tigris: Architecture and Algorithms for 3D Perception in Point Clouds

https://github.com/horizonrobotics/gump

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Solving Motion Planning Tasks with a Scalable Generative Model

https://github.com/hou-yz/MVDet

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Multiview Detection with Feature Perspective Transformation

https://github.com/houyon/online-distillation-cl

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Online Distillation with Continual Learning for Cyclic Domain Shifts

https://github.com/huaaaliu/rgbx_semantic_segmentation

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CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers

https://github.com/huaiyuanxu/3d-occupancy-perception

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A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

https://github.com/huang-yh/gaussianformer

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GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

https://github.com/huang-yh/selfocc

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SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction

https://github.com/huangjuite/radar-navigation

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Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions

https://github.com/huangshiyu13/RPNplus

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Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters

https://github.com/huangyh98/advreal

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AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection Systems

https://github.com/huangzhe885/codiff

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CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection

https://github.com/huangzhe885/roco

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RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment

https://github.com/huanzhang12/ZOO-Attack

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ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

https://github.com/huawei-noah/SMARTS

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SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

https://github.com/huawei-noah/federated-learning

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Understanding Hessian Alignment for Domain Generalization

https://github.com/hugotessier-lab/neural-network-shrinking

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Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU

https://github.com/huixiancheng/PCB-RandNet

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PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene

https://github.com/huixiancheng/cenet

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CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

https://github.com/huskykingdom/dita_acml2023

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Learning to Terminate in Object Navigation

https://github.com/hustvl/alphadrive

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AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

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