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docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/hdl-graph-slam/index.md

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## Contact
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Kenji Koide, [email protected], [https://staff.aist.go.jp/k.koide](https://staff.aist.go.jp/k.koide)
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Kenji Koide, <[email protected]>, [https://staff.aist.go.jp/k.koide](https://staff.aist.go.jp/k.koide)
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[[Active Intelligent Systems Laboratory, Toyohashi University of Technology, Japan]](http://www.aisl.cs.tut.ac.jp)
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[[Mobile Robotics Research Team, National Institute of Advanced Industrial Science and Technology (AIST), Japan]](https://unit.aist.go.jp/hcmrc/mr-rt/contact.html)

docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/sc-a-loam/index.md

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## Contact
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- Maintainer: [email protected]
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- Maintainer: <[email protected]>

docs/how-to-guides/others/planning-evaluation-using-scenarios.md

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- Firstly, you should create a free TIER IV account to access the Autoware Evaluator. You can create an account by using
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the [TIER IV account creation page](https://account.tier4.jp/registration).
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- After you created an account, please reach out to Hiroshi IGATA ([email protected]), the AWF ODD WG leader, for
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- After you created an account, please reach out to Hiroshi IGATA (<[email protected]>), the AWF ODD WG leader, for
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an invitation to AWF project of the Autoware Evaluator. It is advised to join the ODD WG meeting once to briefly
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introduce yourself and your interest. The ODD WG information
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is [here](https://github.com/autowarefoundation/autoware-projects/wiki/operational-design-domain-working-group#how-to-participate-in-the-working-group).

docs/reference-hw/ad-computers.md

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<!-- cspell: ignore Altra BLUEBOX -->
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ------------------------------- | --------------------- | ------------------------ | ------------------------------------------------------------ | ---------------------------------------------------------- | --------------------- |
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ------------------------------- | ----------------------- | ------------------------ | ------------------------------------------------------------ | ---------------------------------------------------------- | --------------------- |
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| AVA-3510 | Intel® Xeon® E-2278GE | Dual MXM RTX 5000 | 64GB RAM,CAN, USB, 10G Ethernet, DIO, Hot-Swap SSD, USIM | 9~36 VDC, MIL-STD-810H,ISO 7637-2 | Y |
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| SOAFEE’s AVA Developer Platform | Ampere Altra ARMv8 | optional | USB, Ethernet, DIO, M.2 NVMe SSDs | 110/220 AC | Y |
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| RQX-58G | 8-core Arm | Nvidia Jetson AGX Xavier | USB, Ethernet, M.2 NVME SSD, CAN, USIM, GMSL2 Camera support | 9~36VDC, IEC 60068-2-64: Operating 3Grms, 5-500 Hz, 3 axes | Y |
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| RQX-59G | 8-core Arm | Nvidia Jetson AGX Orin | USB, Ethernet, M.2 NVME SSD, CAN, USIM, GMSL2 Camera support | 9~36VDC, IEC 60068-2-64: Operating 3Grms, 5-500 Hz, 3 axes | - |
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| SOAFEE’s AVA Developer Platform | Ampere Altra ARMv8 | optional | USB, Ethernet, DIO, M.2 NVMe SSDs | 110/220 AC | Y |
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| RQX-58G | 8-core Arm | Nvidia Jetson AGX Xavier | USB, Ethernet, M.2 NVME SSD, CAN, USIM, GMSL2 Camera support | 9~36VDC, IEC 60068-2-64: Operating 3Grms, 5-500 Hz, 3 axes | Y |
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| RQX-59G | 8-core Arm | Nvidia Jetson AGX Orin | USB, Ethernet, M.2 NVME SSD, CAN, USIM, GMSL2 Camera support | 9~36VDC, IEC 60068-2-64: Operating 3Grms, 5-500 Hz, 3 axes | - |
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Link to company website is [here.](https://www.adlinktech.com/en/Connected-Autonomous-Vehicle-Solutions)
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NXP solutions which is used for autonomous driving and tested by one or more community members are listed below:
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ----------------------- | --------------------- | -------------------------- | ----------------------------------------------- | ------------- | --------------------- |
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ----------------------- | ----------------------- | -------------------------- | ----------------------------------------------- | ------------- | --------------------- |
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| BLUEBOX 3.0 | 16 x Arm® Cortex®-A72 | Dual RTX 8000 or RTX A6000 | 16 GB RAM CAN, FlexRay, USB, Ethernet, DIO, SSD | ASIL-D | - |
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Link to company website is [here.](https://www.nxp.com/design/designs/bluebox-3-0-automotive-high-performance-compute-ahpc-development-platform:BlueBox)
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Neousys solutions which is used for autonomous driving and tested by one or more community members are listed below:
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ----------------------- | -------------------------- | --------------------------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------ | --------------------- |
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ----------------------- | ---------------------------- | ---------------------------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------ | --------------------- |
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| 8805-GC | AMD® EPYC™ 7003 | NVIDIA® RTX A6000/ A4500 | 512GB CAN, USB, Ethernet, Serial, Easy-Swap SSD | 8-48 Volt, Vibration:MIL-STD810G, Method 514.6, Category 4 | Y |
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| 10208-GC | Intel® 13th/12th-Gen Core™ | Dual 350W NVIDIA® RTX GPU | 64GB CAN, USB, Ethernet, Serial, M2 NVMe SSD | 8~48 Volt, Vibration: MIL-STD-810H, Method 514.8, Category 4 | Y |
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| 9160-GC | Intel® 13th/12th-Gen Core™ | NVIDIA® RTX series up to 130W TDP | 64GB CAN, USB, Ethernet, PoE, Serial, two 2.5" SATA HDD/SSD with RAID, M2 NVMe SSD | 8~48, Vibration: Volt,MIL-STD-810G, Method 514.6, Category 4 | - |
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Crystal Rugged solutions which is used for autonomous driving and tested by one or more community members are listed below:
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ----------------------- | ------------------------------------------------ | ----------------------- | -------------------------------------------------------- | ----------------------------------------------------------------------------- | --------------------- |
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| AVC 0161-AC | Intel® Xeon® Scalable | Dual GPU RTX Series | 2TB RAM,CAN, USB, Ethernet, Serial, Hot-Swap SSD | 10-32 VoltVibration:2 G RMS 10-1000 Hz, 3 axes | - |
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| AVC0403 | Intel® Xeon® Scalable or AMD EPYC™ | Optional (5 GPU) | 2TB RAM, CAN, USB, Ethernet, Serial, Hot-Swap SSD | 10-32 Volt, Vibration: 2 G RMS 10-1000 Hz, 3 axes | - |
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ----------------------- | --------------------------------------------------- | ------------------------ | -------------------------------------------------------- | ----------------------------------------------------------------------------- | --------------------- |
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| AVC 0161-AC | Intel® Xeon® Scalable | Dual GPU RTX Series | 2TB RAM,CAN, USB, Ethernet, Serial, Hot-Swap SSD | 10-32 VoltVibration:2 G RMS 10-1000 Hz, 3 axes | - |
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| AVC0403 | Intel® Xeon® Scalable or AMD EPYC™ | Optional (5 GPU) | 2TB RAM, CAN, USB, Ethernet, Serial, Hot-Swap SSD | 10-32 Volt, Vibration: 2 G RMS 10-1000 Hz, 3 axes | - |
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| AVC1322 | Intel® Xeon® D-1718T or Gen 12/13 Core™ i3/i5/i7 | NVIDIA® Jetson AGX Orin | 128 GB DDR4 RAM, USB, Ethernet, Serial, SATA 2.5” SSD | 10-36 Volt, Vibration: 5.5g, 5-2,000Hz, 60 min/axis, 3 axis | - |
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| AVC1753 | 10th Generation Intel® Core™ and Xeon® | Optional (1 GPU) | 128 GB DDR4 RAM, USB, Ethernet, NVMe U.2 SSD/ 3 SATA SSD | 8-36 VDC/ 120-240VAC 50/60Hz, Vibration: 5.5g, 5-2,000Hz, 60 min/axis, 3 axis | - |
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| AVC1753 | 10th Generation Intel® Core™ and Xeon® | Optional (1 GPU) | 128 GB DDR4 RAM, USB, Ethernet, NVMe U.2 SSD/ 3 SATA SSD | 8-36 VDC/ 120-240VAC 50/60Hz, Vibration: 5.5g, 5-2,000Hz, 60 min/axis, 3 axis | - |
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Link to company website is [here.](https://www.crystalrugged.com/products/ai-autonomous-vehicle-technology/)
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ----------------------- | -------------------------- | ------------------------------------- | ----------------------------------------------------------------- | ------------------------------------------------------------ | --------------------- |
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| Supported Products List | CPU | GPU | RAM, Interfaces | Environmental | Autoware Tested (Y/N) |
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| ----------------------- | ---------------------------- | -------------------------------------- | ----------------------------------------------------------------- | ------------------------------------------------------------ | --------------------- |
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| ECX-3800 PEG | Intel® 13th/12th-Gen Core™ | 200W power of NVIDIA® or AMD graphics | 64GB RAM, CAN, USB, Ethernet, PoE, Serial, M.2/SATA SSD, SIM Card | 12-50 Volt, Vibration:MIL-STD810G, Procedure I, 20°C to 45°C | - |
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| IVX-1000 | Intel® 13th/12th-Gen Core™ | NVIDIA Quadro® MXM Graphics | 64GB RAM, Ethernet, PoE, Serial, M.2/SATA/mSATA SSD, SIM Card | 16-160 Volt, Vibration: IEC 61373 : 2010, 40°C to 85°C | - |
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docs/reference-hw/full_drivers_list.md

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The list of all drivers listed above for easy access as a table with additional information:
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| Type | Maker | Driver links | License | Maintainer |
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| ------ | ----------------------- | ------------------------------------------------------------------------------ | -------- | --------------------------------------------------- |
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| Lidar | Velodyne<br>Hesai | [Link](https://github.com/tier4/nebula) | Apache 2 | [email protected]<br>[email protected] |
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| Lidar | Velodyne | [Link](https://github.com/ros-drivers/velodyne/tree/ros2/velodyne_pointcloud) | BSD | [email protected] |
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| Lidar | Robosense | [Link](https://github.com/RoboSense-LiDAR/rslidar_sdk) | BSD | [email protected] |
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| Lidar | Hesai | [Link](https://github.com/HesaiTechnology/HesaiLidar_General_ROS) | Apache 2 | [email protected] |
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| Lidar | Leishen | [Link](https://github.com/leishen-lidar) | - | - |
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| Lidar | Livox | [Link](https://github.com/Livox-SDK/livox_ros2_driver) | MIT | [email protected] |
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| Lidar | Ouster | [Link](https://github.com/ros-drivers/ros2_ouster_drivers) | Apache 2 | [email protected]<br>[email protected] |
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| Radar | smartmicro | [Link](https://github.com/smartmicro/smartmicro_ros2_radars) | Apache 2 | [email protected] |
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| Radar | Continental Engineering | [Link](https://github.com/tier4/ars408_driver) | Apache 2 | [email protected]<br>[email protected] |
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| Camera | Flir | [Link](https://github.com/berndpfrommer/flir_spinnaker_ros2) | Apache 2 | [email protected] |
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| Camera | Lucid Vision | [Link](https://gitlab.com/leo-drive/Drivers/arena_camera) | - | [email protected] |
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| Camera | Allied Vision | [Link](https://github.com/neil-rti/avt_vimba_camera) | Apache 2 | [email protected] |
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| Camera | Tier IV | [Link](https://github.com/tier4/tier4_automotive_hdr_camera) | GPL | - |
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| Camera | Neousys Technology | [Link](https://github.com/ros-drivers/gscam) | BSD | [email protected] |
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| GNSS | NovAtel | [Link](https://github.com/swri-robotics/novatel_gps_driver/tree/dashing-devel) | BSD | [email protected] |
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| GNSS | SBG Systems | [Link](https://github.com/SBG-Systems/sbg_ros2_driver) | MIT | [email protected] |
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| GNSS | PolyExplore | [Link](https://github.com/polyexplore/ROS2_Driver) | - | [email protected] |
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| Type | Maker | Driver links | License | Maintainer |
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| ------ | ----------------------- | ------------------------------------------------------------------------------ | -------- | ------------------------------------------------------- |
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| Lidar | Velodyne<br>Hesai | [Link](https://github.com/tier4/nebula) | Apache 2 | <[email protected]><br><[email protected]> |
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| Lidar | Velodyne | [Link](https://github.com/ros-drivers/velodyne/tree/ros2/velodyne_pointcloud) | BSD | <[email protected]> |
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| Lidar | Robosense | [Link](https://github.com/RoboSense-LiDAR/rslidar_sdk) | BSD | <[email protected]> |
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| Lidar | Hesai | [Link](https://github.com/HesaiTechnology/HesaiLidar_General_ROS) | Apache 2 | <[email protected]> |
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| Lidar | Leishen | [Link](https://github.com/leishen-lidar) | - | - |
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| Lidar | Livox | [Link](https://github.com/Livox-SDK/livox_ros2_driver) | MIT | <[email protected]> |
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| Lidar | Ouster | [Link](https://github.com/ros-drivers/ros2_ouster_drivers) | Apache 2 | <[email protected]><br><[email protected]> |
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| Radar | smartmicro | [Link](https://github.com/smartmicro/smartmicro_ros2_radars) | Apache 2 | <[email protected]> |
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| Radar | Continental Engineering | [Link](https://github.com/tier4/ars408_driver) | Apache 2 | <[email protected]><br><[email protected]> |
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| Camera | Flir | [Link](https://github.com/berndpfrommer/flir_spinnaker_ros2) | Apache 2 | <[email protected]> |
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| Camera | Lucid Vision | [Link](https://gitlab.com/leo-drive/Drivers/arena_camera) | - | <[email protected]> |
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| Camera | Allied Vision | [Link](https://github.com/neil-rti/avt_vimba_camera) | Apache 2 | <[email protected]> |
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| Camera | Tier IV | [Link](https://github.com/tier4/tier4_automotive_hdr_camera) | GPL | - |
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| Camera | Neousys Technology | [Link](https://github.com/ros-drivers/gscam) | BSD | <[email protected]> |
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| GNSS | NovAtel | [Link](https://github.com/swri-robotics/novatel_gps_driver/tree/dashing-devel) | BSD | <[email protected]> |
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| GNSS | SBG Systems | [Link](https://github.com/SBG-Systems/sbg_ros2_driver) | MIT | <[email protected]> |
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| GNSS | PolyExplore | [Link](https://github.com/polyexplore/ROS2_Driver) | - | <[email protected]> |

docs/tutorials/ad-hoc-simulation/digital-twin-simulation/MORAI_Sim-tutorial.md

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Hyeongseok Jeon will give full technical support
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- Hyeongseok Jeon#2355 in Discord

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