https://github.com/wayveai/fiery
공식 코드FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
Papers with Code 아카이브
Autonomous Driving
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 4
- 보존된 평가 기록
- 23
Autonomous driving is the task of driving a vehicle without human conduction.
Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.
<span style="color:grey; opacity: 0.5">(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wayveai/lingoqa
공식 코드https://github.com/wayveai/mile
공식 코드https://github.com/wayveai/socs
공식 코드Linking vision and motion for self-supervised object-centric perception
https://github.com/wayveai/wayve_scenes
공식 코드WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving
https://github.com/wei-mao-2019/LearnTrajDep
공식 코드Learning Trajectory Dependencies for Human Motion Prediction
https://github.com/wei-mao-2019/contawaremotionpred
공식 코드https://github.com/weibinkou/crchfl
공식 코드https://github.com/weijiemax/lssinst
공식 코드LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance Representation
https://github.com/weinajin/euca
공식 코드https://github.com/weiqingq/CLRKDNet
공식 코드CLRKDNet: Speeding up Lane Detection with Knowledge Distillation
https://github.com/weiyangdaren/streamdsgn-pytorch
공식 코드Real-time Stereo-based 3D Object Detection for Streaming Perception
https://github.com/weiyithu/surrounddepth
공식 코드SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation
https://github.com/weiyithu/surroundocc
공식 코드SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving
https://github.com/wenc13/patchgeneration
공식 코드Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach
https://github.com/wenjie710/PivotNet
공식 코드PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction
https://github.com/wenyyu/IA-Seg
공식 코드Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters
https://github.com/westlake-autolab/fusionad
공식 코드FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving
https://github.com/westny/dronalize
공식 코드Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View Datasets
https://github.com/westny/mtp-go
공식 코드Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction
https://github.com/wgcban/spin_roadmapper
공식 코드https://github.com/wh200720041/SRLCD
공식 코드Online Visual Place Recognition via Saliency Re-identification
https://github.com/whuwangjr/sky-view-images
공식 코드Sky-GVIO: an enhanced GNSS/INS/Vision navigation with FCN-based sky-segmentation in urban canyon
https://github.com/willemeng/VLScene
공식 코드VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion
https://github.com/wljungbergh/neuroncap
공식 코드NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
https://github.com/wongwaituck/attacking-optimization-layers-public
공식 코드Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility
https://github.com/woodoxen/tactics2d
공식 코드Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making
https://github.com/woodwindhu/dts
공식 코드Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection
https://github.com/woodwindhu/gsda
공식 코드Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks
https://github.com/woodwindhu/rangeldm
공식 코드https://github.com/woven-planet/l5kit
공식 코드CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
https://github.com/woxihuanjiangguo/hydra-mdp
공식 코드Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation
https://github.com/woxihuanjiangguo/hydra-next
공식 코드Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training
https://github.com/wqi/WIMP
공식 코드https://github.com/wssun/badcode
공식 코드https://github.com/wudongming97/prompt4driving
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.