https://github.com/swat-lab-optimization/RILaST
공식 코드Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
Papers with Code 아카이브
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/swat-lab-optimization/ambiegen-tool
공식 코드AmbieGen: A Search-based Framework for Autonomous Systems Testing
https://github.com/teganmaharaj/zoneout
공식 코드https://github.com/thedeepchecker/thedeepchecker
공식 코드https://github.com/thierryderuyttere/talk2car-destination
공식 코드Predicting Physical World Destinations for Commands Given to Self-Driving Cars
https://github.com/toytiny/radarocc
공식 코드RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
https://github.com/tsattler/understanding_apr
공식 코드Understanding the Limitations of CNN-based Absolute Camera Pose Regression
https://github.com/tsb0601/multimon
공식 코드Mass-Producing Failures of Multimodal Systems with Language Models
https://github.com/tsigalko18/transferability-testing-sdcs
공식 코드https://github.com/twankim/avod_ssn
공식 코드https://github.com/tydpan/gpc
공식 코드Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
https://github.com/umautobots/driving-in-the-matrix
공식 코드Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
https://github.com/urbste/MultiCol-SLAM
공식 코드MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM System
https://github.com/usc-sail/mica-subtitle-aligned-movie-sounds
공식 코드https://github.com/valeoai/WoodScape/tree/master/omnidet
공식 코드Surround-View Cameras based Holistic Visual Perception for Automated Driving
https://github.com/vcl-iisc/data-free-defense-at-test-time
공식 코드https://github.com/vcl-iisc/improved-data-free-test-time-adversarial-defense
공식 코드https://github.com/vdblm/ExPerior
공식 코드Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
https://github.com/velatkilic/LISA
공식 코드https://github.com/vita-epfl/monoloco
공식 코드MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
https://github.com/vita-epfl/monstereo
공식 코드MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
https://github.com/vita-epfl/openpifpaf
공식 코드OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/vita-epfl/openpifpaf_posetrack
공식 코드OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
https://github.com/woodoxen/tactics2d
공식 코드Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making
https://github.com/xdeng7/nightlab
공식 코드NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night
https://github.com/xtinkt/editable
공식 코드https://github.com/yihongsun/mod-uv
공식 코드MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos
https://github.com/youkely/InfrasCal
공식 코드Infrastructure-based Multi-Camera Calibration using Radial Projections
https://github.com/yurongyou/hindsight
공식 코드Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
https://github.com/zaidtahirbutt/Situation-Coverage-based-AV-Testing-Framework-in-CARLA
공식 코드https://github.com/zeligism/padpaf
공식 코드PaDPaF: Partial Disentanglement with Partially-Federated GANs
https://github.com/zhangtravis/hist-da
공식 코드Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features
https://github.com/zhangyushan3/diffsf
공식 코드https://zenodo.org/record/6619279
공식 코드Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering
https://github.com/2000aman/Self_Driving_Car_Project
https://github.com/2023-MindSpore-1/ms-code-3/tree/main/OctSqueeze
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.