TY - GEN
T1 - OmniView
T2 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015
AU - Meng, Rufeng
AU - Nelakuditi, Srihari
AU - Wang, Song
AU - Choudhury, Romit Roy
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/26
Y1 - 2015/3/26
N2 - To assist drivers and prevent collisions, we propose a system called OmniView that extends driver's vision in all directions, using cameras of multiple collaborating smartphones in the surrounding vehicles. OmniView provides a driver with a traffic map about the relative positions of surrounding vehicles. Under OmniView, each vehicle detects other vehicles in its view, estimates their relative positions, and broadcasts its local map. Upon reception of a map from another vehicle, a vehicle updates its own map by fusing it with the received map. A key issue faced by OmniView is, how does a vehicle address another vehicle in its map? We propose that a vehicle's image itself could be treated as its address. However, if we include images in each map message, the communication overhead will be high. Towards that end, OmniView resolves a vehicle's image to a small unique ID. With this approach, we demonstrate that it is feasible to develop the OmniView system that produces a traffic map in real-time. Besides, through computer vision techniques and the collaboration between vehicles, OmniView could show the positions of surrounding vehicles with reasonable accuracy on the map. Such a traffic map, even without being displayed to the drivers, can act as the common substrate based on which various alerts can be triggered to avoid accidents.
AB - To assist drivers and prevent collisions, we propose a system called OmniView that extends driver's vision in all directions, using cameras of multiple collaborating smartphones in the surrounding vehicles. OmniView provides a driver with a traffic map about the relative positions of surrounding vehicles. Under OmniView, each vehicle detects other vehicles in its view, estimates their relative positions, and broadcasts its local map. Upon reception of a map from another vehicle, a vehicle updates its own map by fusing it with the received map. A key issue faced by OmniView is, how does a vehicle address another vehicle in its map? We propose that a vehicle's image itself could be treated as its address. However, if we include images in each map message, the communication overhead will be high. Towards that end, OmniView resolves a vehicle's image to a small unique ID. With this approach, we demonstrate that it is feasible to develop the OmniView system that produces a traffic map in real-time. Besides, through computer vision techniques and the collaboration between vehicles, OmniView could show the positions of surrounding vehicles with reasonable accuracy on the map. Such a traffic map, even without being displayed to the drivers, can act as the common substrate based on which various alerts can be triggered to avoid accidents.
UR - http://www.scopus.com/inward/record.url?scp=84928019045&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84928019045&partnerID=8YFLogxK
U2 - 10.1109/ICCNC.2015.7069442
DO - 10.1109/ICCNC.2015.7069442
M3 - Conference contribution
AN - SCOPUS:84928019045
T3 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015
SP - 760
EP - 765
BT - 2015 International Conference on Computing, Networking and Communications, ICNC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 February 2015 through 19 February 2015
ER -