record of the first meetingBasic Summary
first meeting record |
Meeting start time |
2015/12/18 18:30 p.m. |
meeting End time |
2015/12/18 19:40 p.m. |
Meeting Place |
G915 |
meeting Content Basic Summary |
ü Group communication: Brain-storming, envisioning future scenarios for drones ü teachers Evaluate and guide each" story ": the advantages of drones and the difficulties in real-world applications ü Next stage tasks: To find the problem needs, to establish a solution, to analyze the properties of the problem (optimization, scheduling), need to clear the role of the UAV and the car, and the implementation of the required relevant algorithms and techniques |
participate in discussion people |
Wu Teng teacher Zhang, Du Zhengyuan, Huanghongren, Zeize, Li Cloud |
Specific Discussion Content Description
Team members |
Scene Construction |
The teacher proposed |
Zhang |
L co-operation between UAV and ambulance
- The drone communicates with the vehicle in front of the ambulance to open up the road
L UAV Tracking Source
- All types of sensors (wind, wind, odor, air density) on drones track pollution sources
|
L need to dig into the plan L environment is a very hot issue to pay attention to, is a new angle |
Huanghongren |
L co-ordination of UAV and disaster relief fleet
- Drone's role as an information hub to maintain contact with disaster-stricken vehicles
- Reduce costs
|
L Drones open "hot spots", each future car will be equipped with a dedicated UAV |
Lee Cloud |
L UAV and police car co-intercept truck
- Target tracking of the UAV to the bandit vehicle
- Multi-police car chase route planning
|
L Multi-Target scheduling L Communication between police cars L The urban environment is too complex |
Zeize |
L 3D Map
- Network format camera Queue = = Porous camera, can quickly build a three-dimensional map
L Unmanned aerial vehicle charging--docking of UAV and car
- Automate the operation of unmanned aerial vehicles
|
• Large data Transfer volume L Power Consumption L Communication between UAV and ground trolley L Air Refueling problem |
Du Zhengyuan |
L Unmanned aerial Vehicle assist in logistic transportation
- A large number of materials allocated to different vehicle capacity of multiple logistics vehicles
- UAV Real-time feedback on the road ahead, give the most ideal transport line
|
L The shortest time for material transportation? Or The shortest time difference between logistics vehicles arriving at their destination Clear optimization Goals |
Record of the first meeting