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CASD: A framework of context-awareness safety driving in vehicular networks

Title
CASD: A framework of context-awareness safety driving in vehicular networks
Authors
Shen, YiwenJeong, JaehoonOh, TaeSon, Sang Hyuk
DGIST Authors
Son, Sang Hyuk
Issue Date
2016
Citation
30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016, 252-257
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
Inspired by the advancement of vehicular networks and increasing concerns on driving safety, this paper proposes a framework of Context-Awareness Safety Driving (CASD). In vehicular networks, vehicles communicate with each other and share a variety of information. By utilizing those capability, CASD provides vehicles with a class-based safety action plan that considers three situations such as the Line-of-Sight unsafe, the Non-Line-of-Sight unsafe and the safe situations. In the Line-of-Sight unsafe situation, a hybrid take-action scheme is provided. If human's action fails, the vehicle will take over the driving control to guarantee the minimum risk. A timing for the vehicle to take over the control is based on an optimized threshold by examining context information. Moreover, a dynamic path maneuver planning scheme is suggested to avoid a crash in real-time. The driving safety can be substantially improved using CASD. © 2016 IEEE.
URI
http://hdl.handle.net/20.500.11750/3620
DOI
10.1109/WAINA.2016.74
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems Research) Lab
  • Research Interests
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers


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