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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/MalayAgarwal-Lee/SteeringWheelAnglePredictor

End to End Learning for Self-Driving Cars

https://github.com/MarkRoy8888/CarND-Project-4-Behavioral-Cloning

End to End Learning for Self-Driving Cars

https://github.com/MartinHahner/FoggySynscapes

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

https://github.com/MartinHahner88/FoggySynscapes

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

https://github.com/Mehul27/Self-Driving-Car

End to End Learning for Self-Driving Cars

https://github.com/Mind23-2/MindCode-101/tree/main/OctSqueeze

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

https://github.com/MindSpore-paper-code-2/code2/tree/main/OctSqueeze

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

https://github.com/MisterTarock/Ultracar

End to End Learning for Self-Driving Cars

https://github.com/Mohamed-ElhajAbdou/Self-driving-car

End to End Learning for Self-Driving Cars

https://github.com/Mrjaggu/Self_driving_car

End to End Learning for Self-Driving Cars

https://github.com/Naveenking006/AutoPilot

End to End Learning for Self-Driving Cars

https://github.com/Nilanjan96/Self-Driving-Car

End to End Learning for Self-Driving Cars

https://github.com/Noep1997/self-driving-car

End to End Learning for Self-Driving Cars

https://github.com/Nuclearstar/End-to-End-Learning-for-Self-Driving-Cars

End to End Learning for Self-Driving Cars

https://github.com/PIlotcnc/neural

Fast Algorithms for Convolutional Neural Networks

https://github.com/PaddlePaddle/Paddle3D

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

https://github.com/PankajKarki/Self-Driving-Car

End to End Learning for Self-Driving Cars

https://github.com/PhilippeW83440/CarND-Path-Planning-Project

On a Formal Model of Safe and Scalable Self-driving Cars

https://github.com/Pointcept/Pointcept

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection

Editable Neural Networks

https://github.com/RoyMachineLearning/Deep-Learning-Self-Driving-Simulator

End to End Learning for Self-Driving Cars

https://github.com/Samyakb50/Self-driving-car-using-deep-neural-network-technique

End to End Learning for Self-Driving Cars

https://github.com/Song-Jingyu/PointPainting

PointPainting: Sequential Fusion for 3D Object Detection

https://github.com/SullyChen/Autopilot-TensorFlow

End to End Learning for Self-Driving Cars

https://github.com/TornikeAm/Semantic-Segmentation-on-Pascal-VOC

A survey of loss functions for semantic segmentation

https://github.com/Vermankayak/Self-Driving-Car

End to End Learning for Self-Driving Cars

https://github.com/Will-J-Gale/GTA5-Self-Driving-Car

End to End Learning for Self-Driving Cars

https://github.com/Winaway/Path_planning

On a Formal Model of Safe and Scalable Self-driving Cars

https://github.com/XiaoMi/mace

Fast Algorithms for Convolutional Neural Networks

https://github.com/Yuxin33/unmask

UnMask: Adversarial Detection and Defense Through Robust Feature Alignment

https://github.com/Zhenye-Na/self-driving-vehicles-sim-with-ml

End to End Learning for Self-Driving Cars

https://github.com/abhiCoder123/Self-Driving-Car-Tensorflow

End to End Learning for Self-Driving Cars

https://github.com/abhileshborode/Behavorial-Clonng-Self-driving-cars

End to End Learning for Self-Driving Cars

https://github.com/acoMCMXCVI/End-to-end-Conditional-Imitation-Driving

End to End Learning for Self-Driving Cars

https://github.com/adam-dziedzic/winograd

Fast Algorithms for Convolutional Neural Networks

https://github.com/aditbiswas1/P3-behavioral-cloning

End to End Learning for Self-Driving Cars

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