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  • 2020年自动驾驶汽车技术报告-原版.pdf

    2020年自动驾驶汽车技术报告-原版 2020 AUTONOMOUS VEHICLE TECHNOLOGY REPORT The guide to understanding the current state of the art in hardware & software for self-driving vehicles.

    2020-04-14
    49
  • 64篇基于消失点的相机标定的经典文献汇总

    该文件为我调研和筛选之后的基于消失点的相机标定的经典文献。基于消失点的标定方法主流的有微软研究院的方案和其他方案的。微软研究院的是针对交通场景,它利用车辆的特征:比如后视镜、车辆正中心、车辆大灯等特征点。

    2020-04-13
    45
  • Liu 等。 - 2018 - FlowNet3D Learning Scene Flow in 3D Point Clouds.pdf

    FlowNet3D Learning Scene Flow in 3D Point Clouds. Many applications in robotics and human-computer interaction can benefit from understanding 3D motion of points in a dynamic environment, widely noted as scene flow. While most previous methods focus on stereo and RGB-D images as input, few try to estimate scene flow directly from point clouds.

    2019-11-28
    10
  • 一种逐级标定相机参数的方法

    一种逐级标定相机参数的方法,避免多参数之间的耦合,提高检测精度,可以独立使用

    2017-10-16
    9
  • 基于视觉的机器人同时定位与地图构建(博士论文-浙江大学-2007

    基于视觉的机器人同时定位与地图构建(博士论文-浙江大学-2007

    2016-06-14
    12
  • 3D Path Planning and Stereo-based Obstacle Avoidance for Rotorcraft UAVs

    We present a synthesis of techniques for rotorcraft UAV navigation through unknown environments which may contain obstacles. D* Lite and Probabilistic Roadmaps are combined for path planning, together with stereo vision for obstacle detection and dynamic path updating. A 3D occupancy map is used to represent the environment, and is updated online using stereo data. The target application is autonomous helicopter-based structure inspections, which require the UAV to fly safely close to the structures it is inspecting. Results are presented from simulation and with real flight hardware mounted onboard a cable array robot, demonstrating successful navigation through unknown environments containing obstacles. Index Terms—UAV, autonomous helicopter, power line inspection, stereo vision, obstacle detection, path planning

    2015-04-15
    10
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