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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/manuTRON/self-driving-car
https://github.com/marsauto/europilot
https://github.com/mbechtel2/DeepPicar-v2
https://github.com/mgei/sdcar
https://github.com/michellbrito/CSCE_614_Term_Project
https://github.com/milsun/AI-Driver-CNN-DeepLearning-PyTorch
https://github.com/mindspore-ai/models/tree/master/official/cv/octsqueeze
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
https://github.com/mirkozaff/aa-sgan
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/mit-han-lab/torchsparse
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/mrkatouei/Self-driving-smart-car-Autopilot-
https://github.com/mukesh40744/Behavioral-Cloning
https://github.com/mukeshk05/Behavioral-Cloning
https://github.com/naman-mehta/predict_steering_angle
https://github.com/nandaswayam/Self-Driving-car
https://github.com/navoshta/behavioral-cloning
https://github.com/nerdimite/behavioral-cloning
https://github.com/neuralmagic/sparseml
https://github.com/neuralmagic/sparsify
https://github.com/nikkkkhil/self-driving-car-implementaion-based-on-nvidia-paper-using-keras
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
https://github.com/nishantml/Self-Driving-Car
https://github.com/ns15417/multicol-slam2
MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM System
https://github.com/nvlabs/adaptive-prediction
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
https://github.com/nvr-avg/adaptive-prediction
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
https://github.com/omron-sinicx/planning-datasets
OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
https://github.com/openpifpaf/openpifpaf
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/openpifpaf/openpifpaf_posetrack
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/openpifpaf/openpifpafwebdemo
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/opplieam/Self-Driving-Car
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
https://github.com/owenps/Adversarial_Generator
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
https://github.com/peikexin9/deepxplore
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
https://github.com/pjlab-adg/openpcseg
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/pjlab-adg/pcseg
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/pkoripalli/Self-Driving-Car
https://github.com/pmiraldo/MinimalMultiPerspectivePose
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines
https://github.com/pmwenzel/carla-domain-adaptation
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.