The Role and Design of Communication System for Automated Driving
The Role and Design of Communication System for Automated Driving Gaurav Bansal, Yaser P. Fallah, Mohammad Fanaei, Amin Tahmasbi-Sarvestani, John B. Kenney and Matthew C. Valenti
3. Proposed System Model
1. Motivation
5. Resource Allocation Algorithm Innovative solutions for controlling power, message rate, message content are required
Wireless Communications would be quite important for getting a non line-of-sight view for the automated driving vehicles Wireless communication is quite important technology for getting a non line-of-sight view for the automated driving vehicles
Data to Be Broadcast
Communication Rate Communication Module
Communication Power
Data From Other Vehicles
Multi-Resolution Data Processing Module
Network Performance Feedback
CSAM = Cooperative Situational Awareness Message
We propose a novel adaptive content control algorithm
Main Idea: – Automated car should not only transmit its GPS information (as in DSRC safety communications), • Also transmit other object information – Cars, pedestrians, potholes, signs etc.. – Notices on the map using its local sensors (camera, radar, Lidar etc.)
We Set-up NS3 Simulations
Descent-based control to determine the message size to
maintain a target CBP
4. Present Day DSRC 2. Communication for Automated Driving
Message Content
Dynamic changes in the map are represented Distance Dependent content and prioritization for important
changes on the MAP
Total Length of the Highway = 4Km Number of Cars on the road = 100 per Km Power = 500m transmission range Message Rate = 10 Hz Packet Size: DSRC Safety Message = 350 Bytes
Automated Driving Message = 350 + x*50 Bytes X represents how many other objects vehicle is observing from local sensors 50 Bytes represent an estimate of object information
Channel Busy Percentage (CBP) Results Significant improvement in Information-age metrics using our content control algorithm
CBP becomes very high for Automated Driving Communication CBP is around 60%-70%. Close to optimal use of wireless channel.
Communications can play a critical role in Automated driving Scalability of the communication system would be important Innovative solutions (Message content, Power, Message Rate Control) would be required for designing such a system
Communication should collaborate with other local sensors (cameras, radars etc.) in building the real-time map of the road Packet Size = 350 Bytes
6. Conclusion
Packet Size = 2350 Bytes; x = 50
3. Proposed System Model
1. Motivation
5. Resource Allocation Algorithm Innovative solutions for controlling power, message rate, message content are required
Wireless Communications would be quite important for getting a non line-of-sight view for the automated driving vehicles Wireless communication is quite important technology for getting a non line-of-sight view for the automated driving vehicles
Data to Be Broadcast
Communication Rate Communication Module
Communication Power
Data From Other Vehicles
Multi-Resolution Data Processing Module
Network Performance Feedback
CSAM = Cooperative Situational Awareness Message
We propose a novel adaptive content control algorithm
Main Idea: – Automated car should not only transmit its GPS information (as in DSRC safety communications), • Also transmit other object information – Cars, pedestrians, potholes, signs etc.. – Notices on the map using its local sensors (camera, radar, Lidar etc.)
We Set-up NS3 Simulations
Descent-based control to determine the message size to
maintain a target CBP
4. Present Day DSRC 2. Communication for Automated Driving
Message Content
Dynamic changes in the map are represented Distance Dependent content and prioritization for important
changes on the MAP
Total Length of the Highway = 4Km Number of Cars on the road = 100 per Km Power = 500m transmission range Message Rate = 10 Hz Packet Size: DSRC Safety Message = 350 Bytes
Automated Driving Message = 350 + x*50 Bytes X represents how many other objects vehicle is observing from local sensors 50 Bytes represent an estimate of object information
Channel Busy Percentage (CBP) Results Significant improvement in Information-age metrics using our content control algorithm
CBP becomes very high for Automated Driving Communication CBP is around 60%-70%. Close to optimal use of wireless channel.
Communications can play a critical role in Automated driving Scalability of the communication system would be important Innovative solutions (Message content, Power, Message Rate Control) would be required for designing such a system
Communication should collaborate with other local sensors (cameras, radars etc.) in building the real-time map of the road Packet Size = 350 Bytes
6. Conclusion
Packet Size = 2350 Bytes; x = 50
