RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset 4SAVED - Four Seasons Autonomous Vehicle Environment Dataset 6、世界模型 【Drive-WM】Driving into the Future: Multiview Visual Forecasting and Planning with...
F. Timm, W. Wiesbeck,and K. Dietmayer, “Deep multi-modal object detection and semantic seg-mentation for autonomous driving: Datasets, methods, and challenges,” IEEETransactions on Intelligent Trans- portation Systems, 2020.
multimodal driving datasetsLiDARdriver biometric dataThe development of autonomous vehicles is becoming increasingly popular and gathering real-world data is considered a valuable task. Many datasets have been published recently in the autonomous vehicle sector, with synthetic datasets gaining par...
Waymo Autonomous Driving Dataset by Google 1. Overview The Waymo Open Dataset is comprised of high resolution sensor data collected by Waymo self-driving cars in a wide variety of conditions. This dataset is open publicly to aid the research community in making advancements in machine perception an...
waymo-research/waymo-open-dataset Star2.8k Code Issues Pull requests Waymo Open Dataset datasetautonomous-driving UpdatedDec 2, 2024 Python Farama-Foundation/HighwayEnv Sponsor Star2.7k Code Issues Pull requests A minimalist environment for decision-making in autonomous driving ...
Shanghai (Gasgoo)- On March 8 (the U.S. time), Baidu Apollo autonomous driving platform, officially joined Berkeley DeepDrive (BDD) Industry Consortium and ope
Because training a YOLO model from randomly initialized weights is non-trivial and requires a large dataset as well as lot of computation, we used previously trained model parameters in this exercise. If you wish, you can also try fine-tuning the YOLO model with your own dataset, though this...
Dense Depth for Autonomous Driving (DDAD) dataset. - GitHub - TRI-ML/DDAD: Dense Depth for Autonomous Driving (DDAD) dataset.
3. 欢迎大家积极交流,要跑的话,建议先在装gpu版本的tensorflow..cpu是跑不动的 1#-*- coding: utf-8 -*23'''4Targets:51. 在一个汽车检测数据上使用目标检测算法YOLO62. 处理bounding boxed78Datasets: Drive.ai https://www.drive.ai/9input: (m,608,608,3)10output:(pc, bx,by,bh,bw,c)1112...
Apollo Dataset和其他DateSets对比 数据标注方面,除了segmentation 和 instance的标注,还标注了28中车道线类型,但是现在还没有open。 下面是标记过程,开发了一种快速标记的pipeline. pipeline分为两部分,3D labeling 和 2D labeling, 分别处理静态背景/物体 和 移动物体。