FXB-Z05002 ROS Intelligent Driving Vehicle Full Realistic Training Environment

About Feature Technical Parameter Basic Configuration

Adopts the mobile platform to develop self-driving code and function packages, the ROS smart driving car and the full realistic training environment are used to evaluate the driving ability and task solving ability of participants. Equipped with crossroads, traffic lights, construction sites, parking lots, tunnels, and stop bar, it can achieve the same driving effect as real vehicles. It provides running environment and functional testing environment for the ROS intelligent driving car during actual training or competition. All configurations can be increased or decreased on the map according to demand, and the map can be expanded or reduced according to the size of the actual application site.

1. Traffic light
There are traffic lights placed in the map, which allows the ROS intelligent driving car to recognize the color of traffic lights and start automatically. Traffic signal light sequence: red - yellow - green.
2. Crossroad
There are crossroads turn signs placed in the map, which allows the ROS intelligent driving car to recognize the left / right turn signs and train it to move in the indicated direction.
3. Construction site
There are three or more obstacles fixed in the map to simulate the construction sites environment, which allows the ROS intelligent driving car to turn on the navigation to avoid and pass all obstacles from the task sites.
4. Parking lot
There are parking lots and turn signs placed in the map to simulate entering parking space, which allows the ROS intelligent driving car to enter the parking area after recognizing the parking lots and turn signs, and to perform automatic parking in the empty parking area.
5. Stop bar
There is stop bar placed in the map, which allows the ROS intelligent driving car to simulate automatic stopping and starting when entering and leaving, and automatic recognition of the bar closing and opening.
6. Tunnel
There is a tunnel module placed in the map, there is no light inside the tunnel, there are also some obstacles (size and location are random), the ROS intelligent driving car runs into the tunnel and autonomous navigation movement to the exit through the sensors.

Tunnel: 1.8m x 1.8m
Tunnel entrance/exit: width 300mm x height 240mm
Full realistic training environment size: 4m x 4m
Road width: 200mm
Full realistic training environment ground: black matte, and non-smooth ground
Instruction configuration:
Traffic light *1
Crossroad sign *1
Road construction sign *1
Parking lot sign*1
No entry sign*1
Stop bar *1
Tunnel sign*1
Tunnel and its parts *1
Left/right turn sign *3