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Self-Driving Cars

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Self-driving cars : the task of making a car that can drive itself without human guidance.

<span style="color:grey; opacity: 0.6">( Image credit: Learning a Driving Simulator )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/CAMMA-public/ai4surgery

공식 코드

Artificial Intelligence in Surgery: Neural Networks and Deep Learning

https://github.com/CMVS-Lab/SAC-Residual-Fusion-CARLA

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Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning

https://github.com/DenisTome/DeepPed

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Deep convolutional neural networks for pedestrian detection

https://github.com/Eroica-cpp/YouTube-Statistics

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YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

https://github.com/HarshayuGirase/PECNet

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It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

https://github.com/I2RDL2/ASTAR-3D

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A*3D Dataset: Towards Autonomous Driving in Challenging Environments

https://github.com/JunweiLiang/Multiverse

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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

https://github.com/KPeng9510/MASS

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MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding

https://github.com/LCAD-UFES/WNN-CNN-GL

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Visual Global Localization with a Hybrid WNN-CNN Approach

https://github.com/LucStrater/GeneralAD

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GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features

https://github.com/MI-Hussain/RVMDE

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RVMDE: Radar Validated Monocular Depth Estimation for Robotics

https://github.com/MajidMoghadam2006/deepcars-reinforcement-learning

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A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning

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

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Social and Scene-Aware Trajectory Prediction in Crowded Spaces

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

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SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

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/RonMcKay/OODRetrieval

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Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation

https://github.com/SCP-CN-001/trajectory_dataset_support

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Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making

https://github.com/Sourajit2110/DilatedSkipTotalRecall

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Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks

https://github.com/StanfordASL/Trajectron-plus-plus

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Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data

https://github.com/StanfordASL/unbalanced-opf-toolkit

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On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks -- An Optimal Power Flow Approach

https://github.com/TRI-ML/DDAD

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3D Packing for Self-Supervised Monocular Depth Estimation

https://github.com/TRI-ML/packnet-sfm

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3D Packing for Self-Supervised Monocular Depth Estimation

https://github.com/ThierryDeruyttere/Talk2Car-Expr

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Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations?

https://github.com/ToyotaResearchInstitute/packnet-sfm

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3D Packing for Self-Supervised Monocular Depth Estimation

https://github.com/TrustAI/DeepGame

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A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees

https://github.com/Trusted-AI/AIX360

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Leveraging Latent Features for Local Explanations

https://github.com/VeriDeep/DLV

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Safety Verification of Deep Neural Networks

https://github.com/Yushgoel/AdversarialAttack

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An Empirical Review of Adversarial Defenses

https://github.com/aervisloc/vpair

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VPAIR -- Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments

https://github.com/agrimgupta92/sgan

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Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

https://github.com/aimotive/aimotive_tl_ts_dataset

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Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving

https://github.com/alshami52/COOOL_benchmark

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COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving

https://github.com/amro-kamal/objectpose

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Progress and limitations of deep networks to recognize objects in unusual poses

https://github.com/angelvillar96/MCDS-VSS

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MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion

https://github.com/anindya2001/GSCEventMOD

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Moving Object Detection for Event-based vision using Graph Spectral Clustering

https://github.com/anirudh9784/Adversarial-Attacks-and-Defences

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An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks

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