2015年多机器人teb论文
2021-02-19 13:04:01 413KB 论文
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Application of the Fast Marching Method for Path Planning of Long-haul Optical Fiber Cables With Shielding
2021-02-07 20:05:27 1.37MB 研究论文
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自主配送机器人 这是IvLabs的自动驾驶平台的第一个版本。 它是使用赛车级1/10 RC汽车的底盘建造的,可用于室外道路环境。 它具有其他传感器和组件,可实现自动驾驶应用的感知,定位,计划和控制。 该项目旨在在我们研究所( )校园内,通过避障实现A到B导航。 此仓库即将更新,包括安装和使用说明
2021-02-01 19:08:00 13.2MB arduino ros planning controls
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title={Graph-based path planning for autonomous robotic exploration in subterranean environments}, author={Dang, Tung and Mascarich, Frank and Khattak, Shehryar and Papachristos, Christos and Alexis, Kostas} 挪威科技大学论文:用于地下环境中自主机器人探索的基于图的路径规划
2021-02-01 15:32:38 1.41MB 路径规划 机器人
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海波龙预算Planning用户手册(中文)
2021-01-29 11:14:44 3.19MB Planning
horizon-architecture-planning-7.7架构规划指南
2021-01-28 03:30:47 1.11MB vmware horizon
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MS-200 Planning and Configuring a Messaging Platform 考试题,提供学习研究使用,提升对微软的产品的了解有帮助。
2021-01-28 02:35:12 1.76MB MS-200 Planning and Con
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Robotics, Modelling, Planning and Control.pdf
2020-12-19 18:48:31 8.71MB Robot
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# CRP Open source C++ Implementation of Customizable Route Planning (CRP) by Delling et al. This project was part of a practical course at Karlsruhe Institute of Technology (KIT). Requirements ============ In order to build CRP you need to have the following software installed: - Boost C++ Library (http://www.boost.org), more specifically Boost Iostreams. - Scons (http://scons.org) - g++ >= 4.8 (https://gcc.gnu.org) Building CRP ============ If the Boost Library is not in your PATH, make sure to edit the *SConstruct* file in the root directory to point the build script to the correct location of Boost. There is a section *Libraries* in the *SConstruct* file where you can specify the paths. Once you have installed all the software packages listed above, you can build the CRP programs by typing ``` scons --target=CRP --optimize=Opt -jX ``` into your terminal where `X` is the number of cores you want to use for building the project. If you want to use a specific g++ compiler version you can add `--compiler=g++-Version`. We also support a debug and profiling build that you can call with `--optimize=Dbg` and `--optimize=Pro` respectively. This command will build three programs in the folder *deploy*: - *osmparser*: Used to parse an OpenStreetMap (OSM) bz2-compressed map file. Call it with `./deploy/osmparser path_to_osm.bz2 path_to_output.graph.bz2` - *precalculation*: Used to build an overlay graph based on a given partition. Call it with `./deploy/precalculation path_to_graph path_to_mlp output_directory`. Here, *path_to_mlp* is the path to a *MultiLevelPartition* file for the graph that you need to provide. For more details, take a look into our project documentation. - *customization*: Used to precompute the metric weights for the overlay graph. Call it with `./deploy/customization path_to_graph path_to_overlay_graph metric_output_directory metric_type`. We currently support the following metric types: *hop* (number of edges traversed), *time* and *dist*.
2020-03-04 03:01:17 14.88MB CRP
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Customizable Route Planning(可定制最短路径) Daniel Delling, Andrew V. Goldberg, Thomas Pajor, and Renato F。本文讲诉了一种可以用任意度量计算欧陆公路网路最短路径的算法。该方法支持转向成本,实时查询,几秒钟融入一个新度量----较快地支持实时交通更新和个性化优化功能。
2020-02-25 03:17:08 239KB Customizable Route Planning
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