https://github.com/vu-resilient-distributed-systems/lectures-fall-2019
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical Systems
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/wangdongdut/dut-anti-uav
https://github.com/waymo-research/waymax
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
https://github.com/wenkaip-1836890/pyromid_l5prediction
One Thousand and One Hours: Self-driving Motion Prediction Dataset
https://github.com/wenyuqing/panacea
Panacea: Panoramic and Controllable Video Generation for Autonomous Driving
https://github.com/wenyyu/Image-Adaptive-YOLO
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters
https://github.com/westny/neural-stability
Which priors matter? Benchmarking models for learning latent dynamics
https://github.com/willsharpless/deepreach
DeepReach: A Deep Learning Approach to High-Dimensional Reachability
https://github.com/wonseok-Jang/rtod_darknet
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving
https://github.com/wwooo/tensorflow_complex_yolo
https://github.com/xiaoaoran/SynLiDAR
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
https://github.com/xiaogangpeng/socialtgcn
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting
https://github.com/xiayuyang/AUTO
Parameterized Decision-making with Multi-modal Perception for Autonomous Driving
https://github.com/xiexiexiaoxiexie/Udacity-self-driving-car-engineer-P7-Highway-Driving
https://github.com/xifen523/cod
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving
https://github.com/xincoder/GRIP_Trajectory
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
https://github.com/xiyie/yolox
https://github.com/xuannianz/keras-GaussianYOLOv3
https://github.com/xuanyuzhou98/SqueezeSeg
https://github.com/xuanyuzhou98/SqueezeSegV2
https://github.com/xvyaward/qeft
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
https://github.com/xy-guo/Learning-Monocular-Depth-by-Stereo
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
https://github.com/xzxzxzxz/interp
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
https://github.com/yandex-research/shifts
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
https://github.com/yangyucheng000/papercode-2/tree/main/WS-VAD-mindspore-main
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
https://github.com/yangzhaojason/DualDiff
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion
https://github.com/yanrucheng/PINet
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
https://github.com/yanrucheng/PINet-demo
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
https://github.com/yfeng002/impvaeood
https://github.com/yhbcode000/MMDetection3D-Eloss
Exploring Data Augmentation for Multi-Modality 3D Object Detection
https://github.com/youngsjjn/MemSeg
Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments
https://github.com/yuant95/SMARTS_VCR
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
https://github.com/yukitsuji/3D_CNN_tensorflow
3D Fully Convolutional Network for Vehicle Detection in Point Cloud
https://github.com/yuyi1005/point2rbox-mmrotate
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
https://github.com/zad1206/simtrack-mindspore
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
https://github.com/zcc31415926/FFNet
Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.