Cooperative autonomous vehicles in VANET
- Two Audi Q2 in 1/8 scale
- Sensors: cameras, gyrosensor, encoder, Wifi modules
- Tasks: Car-following, overtaking, intersection management
C2C and C2X information through wireless interface will be integrated for cooperative driving strategies in the traffic situations, such as urban intersections, highway ramp merging and traffic jams.
Moreover, we incorporate learning-based algorithms on maneuver planning (i.e., lane following or changing, collision avoidance or emergency stop). For instance, a go/no-go decision of lane changing on highway trained with human driving data sets makes the autonomous driving experience more customized and user-friendly. In turns, the determined driving mode is used to adjust the sensitivities of on-board sensors.