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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/autofuzz2020/autofuzz

공식 코드

Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles

https://github.com/autonomousvision/kitti360labeltool

공식 코드

KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

https://github.com/autonomousvision/kitti360scripts

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KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

https://github.com/avmb/dialogllmscenic

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Dialogue-based generation of self-driving simulation scenarios using Large Language Models

https://github.com/billcai/treepedia_dl_public

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Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks

https://github.com/bntejn/keras-prioritizer

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Input Prioritization for Testing Neural Networks

https://github.com/boschresearch/local_neural_transformations

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Detecting Anomalies within Time Series using Local Neural Transformations

https://github.com/bpucla/lbebm

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Trajectory Prediction with Latent Belief Energy-Based Model

https://github.com/chequanghuy/TwinLiteNet

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TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars

https://github.com/cocoon2wong/Vertical

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View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums

https://github.com/coolsunxu/sophie

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SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints

https://github.com/cram3r95/mapfe4mp

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Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction

https://github.com/crowdbotp/OpenTraj

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OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets

https://github.com/cuzaoo/sanet-main

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Spatial-Assistant Encoder-Decoder Network for Real Time Semantic Segmentation

https://github.com/dzungdoan6/wstta

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Weakly Supervised Test-Time Domain Adaptation for Object Detection

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

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Editable Neural Networks

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/erasmo1015/vte

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On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression

https://github.com/erfanaasi/unmarked_crosswalk_carla_scenario

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Classification of Time-Series Data Using Boosted Decision Trees

https://github.com/facebookresearch/self_defeating_improvements

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Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems

https://github.com/ferdiko/vetl

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Extract-Transform-Load for Video Streams

https://github.com/fudan-zvg/nerf-lidar

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NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields

https://github.com/fuxiao0719/panopticnerf

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PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes

https://github.com/fzi-forschungszentrum-informatik/NNAD

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Object Tracking by Detection with Visual and Motion Cues

https://github.com/fzi-forschungszentrum-informatik/fadm

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Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models

https://github.com/gaussianer/fasterseg

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Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capability

https://github.com/hamanhbui/reliable_ssl_baselines

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Benchmark for Uncertainty & Robustness in Self-Supervised Learning

https://github.com/harinduravin/dualcam

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DualCam: A Novel Benchmark Dataset for Fine-grained Real-time Traffic Light Detection

https://github.com/harpreets652/highway-traffic-anomaly

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Anomalous Motion Detection on Highway Using Deep Learning

https://github.com/hendrycks/anomaly-seg

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Scaling Out-of-Distribution Detection for Real-World Settings

https://github.com/hengli/camodocal

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3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection

https://github.com/hku-mars/r3live

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R$^3$LIVE++: A Robust, Real-time, Radiance reconstruction package with a tightly-coupled LiDAR-Inertial-Visual state Estimator

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/iamollas/LioNets

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LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding

https://github.com/ipm-hpc/perspective-bev-transformer

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Deep Perspective Transformation Based Vehicle Localization on Bird's Eye View

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