
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 3 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.
Learn MoreVehicles
- QDrone 2
- QBot Platform (optional)
Control Ground Station
- High-performance computer
- Intel® Core i7
- NVIDIA RTX Graphics card
- 32 GB DDR4 RAM
- Three monitors
- USB flight controller joystick
- High performance router
Studio Equipment
- Natural Point Optitrack Flex 13
- Battery chargers
- Protective net
- Protective floor tiles
Product Details
QDrone 2
Visit the QDrone 2 product page for more details.
Dimensions | 50 x 50 x 15 cm |
Weight (with batteries) | ~1500 g |
Max Payload | ~300 g |
Power | 4S 14.8V LiPo (3700mAh) with XT60 connector |
Flight time | 7-8 minutes for hover per battery charge |
Onboard Computer | NVIDIA Jetson Xavier NX SOM (powered by a 6-Core NVIDIA Carmel ARM v8.2 64-Bit processor) |
384-core NVIDIA Volta GPU with 48 Tensor Cores | |
8 GB 128-bit LPDDR4x RAM | |
Expandable I/O | PWM (2x) |
UART (2x) | |
SPI (2x SS pins ) | |
I² (2x) | |
ADC (1x) | |
Encoder input (2x) | |
CPU GPIO (6x) | |
Intel® RealSense™ ((D435) | Depth sensing: (3 metre range) |
RGB (1920X1080) @ 30 FPS) | |
Omnivision OV9281 | Grayscale (1280×800 @ 120 FPS or 640×480 @ 180 FPS) |
Sony IMX219 | 3x RGB CSI 160 deg FOV wide angle lenses Cameras providing side and back view |
21 FPS to 120 FPS | |
On board sensors | 2x 6-DOF IMU (gyroscope and accelerometer), 1x Optical Flow sensor, 1x ToF height sensor |
Connectivity | WiFi 802.11a/b/g/n/ac 867Mbps with dual antennas 1x Micro HDMI port for external monitor support |
Supported Software and APIs |
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QBot 3
Visit the QBot 3 product page for more details.
Platform |
2-wheeled Kobuki base from Yujin Robot |
QBot 3 diameter |
35 cm |
QBot 3 height |
16 cm |
Maximum linear speed |
0.7 m/s |
Available payload |
app. 4.5 kg |
Battery life |
Maximum 3 hours |
On-board computer |
Raspberry Pi 4B 4GB |
Camera resolution |
1080p @ 30Hz, 720p @ 30Hz, 480p @ 60Hz |
Depth resolution |
720p @ 30Hz, 480p @ 60Hz |
Depth range |
0.5 to 12 m |
LCD module |
32 characters (16 per line) |
On-board sensors |
3 digital bump sensors2 digital wheel drop sensors3 cliff sensors1 3-axis gyrosc0pe2 analog motor current sensors1 Z-axis angle measurement (heading)2 multicolor programmable LEDs
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Additional I/O channels |
28 reconfigurable digital I/O channels, including2 SPI bus channels1 I2C serial bus channel2 PWM output channels1 UART serial port (interface 3.3 V serial device) |
Additional Connectivity |
2 USB 3.0 user ports4 USB 2.0 user ports1 MIPI DSI display port for touch screen1 gigabit Ethernet port1 MIPI CSI camera port40-pin I/O header |
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 |