Autonomous Vehicles Research Studio
Jump-start Your Autonomous Vehicles Research
Quanser’s new Autonomous Vehicles Research Studio is the ideal solution for academics looking to build an indoor multi-vehicle research lab in a short amount of time. Consisting of QDrone quadrotors and QBot 2e ground vehicles, ground control station, vision, and safety equipment, the Autonomous Vehicles Research Studio is the only option for research groups looking to jumpstart autonomous robotics research programs and be productive in a very short amount of time.
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Vehicles
- QDrone
- QBot 2e
Control Ground Station
- High-performance computer
- Intel® Core i7
- 32 GB DDR4 RAM
- 3 monitors
- Router
- USB flight controller joystick
Studio Equipment
- Natural Point Optitrack Flex 13
- Battery chargers
- Protective net
- Protective floor tiles
- Ground camera
Product Details
QDrone
Visit the QDrone product page for more details.
| Dimensions | 40 x 40 x 15 cm |
| Weight (with batteries) | ~1000 g |
| Max Payload | ~300 g |
| Power | 3S 11.1V LiPo (3300mAh) with XT60 connector |
| Flight time | ~11 minutes for hover per battery charge |
| Onboard Computer | Intel Aero Compute Board – Intel Atom x7-Z8750 |
| Quad-core 64-bit 2.56 GH z processor | |
| 4 GB LPDDR3-1600 RAM | |
| Expandable I/O | PWM (8x) |
| UART (2x) | |
| SPI (3x SS pins ) | |
| I²C | |
| ADC (4x) | |
| Encoder input (3x) | |
| CPU GPIO (5x) | |
| Cameras | |
| Intel RealSense (R2000) | Depth sensing: 3-4 m |
| Vision: 640×480 @ 60 FPS or 1080p @ 30FPS | |
| Omnivision OV7251 | VGA |
| 640×480 @ 120 FPS |
QBot 2e
Visit the QBot 2e product page for more details.
| Platform | Kobuki mobile base by Yujin Robot |
| Number of wheels | 2 |
| QBot 2 diameter | 35 cm |
| QBot 2 height (with Kinect mounted) | 27 cm |
| Battery life | 3 hours |
| Maximum linear speed | 0.7 m/s |
| Available payload | app. 4.5 kg |
| Sensors included | 3 digital bumper sensors 2 digital wheel drop sensors 3 analog and digital cliff sensors 3-axis gyroscope 2 wheel encoder inputs 2 wheel speed outputs 2 programmable LED outputs 4 digital power enable outputs 2 analog motor current inputs 3 digital buttons 2 overcurrent sensors 1 Z-axis angle measurement (heading) 1 battery voltage sensor 1 Kinect RGBD sensor |
| Additional I/O channels available | 28 reconfigurable digital I/O channels 2 PWM output channels 1 SPI bus channel 1 UART serial port (interface 3.3 V serial device) 1 I²C serial bus channel 4 USB 2.0 host ports 1Gigabit Ethernet 1 5.0 VDC 1 3.3 VDC 1 MIPI CSI camera port 1 MIPI DSI display port for touch screen |
| On-board computer | Raspberry Pi with integrated WiFi |
| Memory | 1 GB DDR SDRAM, 32 MB Flash |
| QUARC maximum sample rate | 1,000 Hz |
| Camera resolution | 640 x 480 |
| Depth sensing | 11 bit |
| Depth sensor range | 0.5 m – 6 m |
| Computer Station | Intel Core i7 processor 32GB DDR4 RAM Nvidia GeForce GTX 1050 Ti, 4GB GDDR5 with support for 3 monitors Two Gigabit Ethernet ports Windows 10 Pro Keyboard and mouse |
| Monitors | 3x 24” LED display – ASUS VE248H |
| Localization System | Motion Capture System – Natural Point OptiTrack Flex 13 (6x) with camera mounts provided and Motive software (Motive 1.10.3 Final) |
| WiFi Router | High-Performance Gigabit Wireless Router – NetGear NightHawk AC1900 (R7000) |
| Handset Controller | Spektrum Radio SPMR1000 with USB dongle (SPM1000WS) |
| Protective Netting | 10’ tall netting x 17’ length (default configuration) |
| Floor Mats | 2’ x 2’ industrial foam mats (50x – default configuration) |
| Battery Charger | Balancing charger (2x – One charger per QDrone) – G. T. Power A6 LiPo Battery Charger |
| Nominal Workspace | 3m x 3m x 2m volume |
