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/eaphan/upidet

공식 코드

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection

https://github.com/earth-insights/samroadplus

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Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method

https://github.com/ebadi/scenariogenerator

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Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL

https://github.com/ec-jrc/humaint_annotator

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Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving

https://github.com/eddyhkchiu/DMSTrack

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Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter

https://github.com/eddyhkchiu/mahalanobis_3d_multi_object_tracking

공식 코드

Probabilistic 3D Multi-Object Tracking for Autonomous Driving

https://github.com/editable-ICLR2020/editable

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Editable Neural Networks

https://github.com/edithlzh/VNL_Estimation

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RealNet: Combining Optimized Object Detection with Information Fusion Depth Estimation Co-Design Method on IoT

https://github.com/edodema/BestPractices2Body

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Best Practices for 2-Body Pose Forecasting

https://github.com/eduardohenriquearnold/fastreg

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Fast and Robust Registration of Partially Overlapping Point Clouds

https://github.com/edun-eyes/tsc

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Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs

https://github.com/edwardleelpz/powerbev

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PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View

https://github.com/edwardzhou130/PolarSeg

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PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

https://github.com/eerdil/task_agnostic_ood

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Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation

https://github.com/eerik98/lidar-camera-road-autolabeling

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Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions

https://github.com/egstatsml/eu-seg

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Uncertainty in Real-Time Semantic Segmentation on Embedded Systems

https://github.com/ehsannowroozi/rdfs_su

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Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization

https://github.com/eitanspi/weather-image-classification

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Real-Time Weather Image Classification with SVM

https://github.com/elahedlv/confidence_aware_il

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CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving

https://github.com/eleurent/highway-env

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Understanding and Mitigating the Limitations of Prioritized Experience Replay

https://github.com/eleurent/rl-agents

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Budgeted Reinforcement Learning in Continuous State Space

https://github.com/elharirymatteo/rans

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DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories

https://github.com/elharroussomar/awesome-panoptic-segmentation

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Panoptic Segmentation: A Review

https://github.com/elnino9ykl/WildPASS

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Capturing Omni-Range Context for Omnidirectional Segmentation

https://github.com/emerge-lab/gpudrive

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Building reliable sim driving agents by scaling self-play

https://github.com/emerge-lab/nocturne_lab

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Human-compatible driving partners through data-regularized self-play reinforcement learning

https://github.com/emi-group/evoxbench

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A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation

https://github.com/emunaran/stochastic-human-driving-policies-drl

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Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars

https://github.com/emzucas/minidrive

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MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving

https://github.com/endomapper/EM_Dataset-GeometricCalibration

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EndoMapper dataset of complete calibrated endoscopy procedures

https://github.com/endomapper/EM_Dataset-ToolSegmentation

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EndoMapper dataset of complete calibrated endoscopy procedures

https://github.com/endomapper/em_dataset-orbslam3validation

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EndoMapper dataset of complete calibrated endoscopy procedures

https://github.com/endomapper/em_dataset-photometriccalibration

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EndoMapper dataset of complete calibrated endoscopy procedures

https://github.com/engyasin/GAM4Traffic

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Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines

https://github.com/ensta-u2is/ldu

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Latent Discriminant deterministic Uncertainty

https://github.com/envision-research/driverecon

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DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving

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