WiSafe: Wi-Fi Pedestrian Collision Avoidance System

In this paper, we present a novel Wi-Fi-based pedestrian collision avoidance (PCA) system: WiSafe. Compared to vision-based and radar-based PCA systems, WiSafe has a key advantage of Non-Line-of-Sight (NLOS). WiSafe can assist drivers in discovering pedestrians in NLOS and blind spots, where the views of drivers are blocked by buildings, vehicles, or other obstacles. In particular, it is very useful when driving in poor visibility conditions such as at night, in heavy rain, or thick fog. WiSafe can save split seconds, which can potentially save lives. Instead of using wireless access in vehicular environments/dedicated short-range communications to protect pedestrians, WiSafe provides a simple, effective, and low-cost solution. Without changing Wi-Fi standards, WiSafe is compatible with 802.11a/b/g/n and can be implemented by apps on smartphones or wearable devices. The complete analysis, implementation, and experiments are presented in this paper. The results show that WiSafe can achieve and even exceed the PCA requirements.

[1]  Fawzi Nashashibi,et al.  Vehicle to pedestrian communications for protection of vulnerable road users , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

[2]  D R Ankrum.  IVHS - SMART VEHICLES, SMART ROADS , 1992 .

[3]  Andreas Fackelmeier,et al.  Dual frequency Methods for Identifying Hidden Targets in Road Traffic , 2008 .

[4]  Yi He,et al.  Pedestrian-vehicular collision avoidance based on vision system , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[5]  Hyungbae Park,et al.  WiFiHonk: Smartphone-Based Beacon Stuffed WiFi Car2X-Communication System for Vulnerable Road User Safety , 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

[6]  Yi-Bing Lin,et al.  An Investigation on LTE Mobility Management , 2013, IEEE Transactions on Mobile Computing.

[7]  A. Fascioli,et al.  Pedestrian Protection Systems : Issues , Survey , and Challenges , 2007 .

[8]  Jürgen Valldorf,et al.  Pedestrian Protection Systems using Cooperative Sensor Technology , 2007 .

[9]  Andrea Cherubini,et al.  Autonomous Visual Navigation and Laser-Based Moving Obstacle Avoidance , 2014, IEEE Transactions on Intelligent Transportation Systems.

[10]  Jia-Chin Lin,et al.  Wireless communication performance based on IEEE 802.11p R2V field trials , 2012, IEEE Communications Magazine.

[11]  Takuya Hashimoto,et al.  Development of Pedestrian-to-Vehicle Communication System Prototype for Pedestrian Safety Using both Wide-Area and Direct Communication , 2008, 22nd International Conference on Advanced Information Networking and Applications (aina 2008).

[12]  Yanlei Gu,et al.  Recognition and pose estimation of urban road users from on-board camera for collision avoidance , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[13]  K. David,et al.  CAR-2-X and Pedestrian Safety , 2010, IEEE Vehicular Technology Magazine.

[14]  Yuguang Fang,et al.  Dynamic hierarchical mobility management strategy for mobile IP networks , 2004, IEEE Journal on Selected Areas in Communications.

[15]  Thomas Liebig,et al.  Monitoring Microscopic Pedestrian Mobility Using Bluetooth , 2012, 2012 Eighth International Conference on Intelligent Environments.

[16]  Fan Bai,et al.  Toward understanding characteristics of dedicated short range communications (DSRC) from a perspective of vehicular network engineers , 2010, MobiCom.

[17]  Christoph Stiller,et al.  Active safety for vulnerable road users based on smartphone position data , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).

[18]  T. Vincenty.  DIRECT AND INVERSE SOLUTIONS OF GEODESICS ON THE ELLIPSOID WITH APPLICATION OF NESTED EQUATIONS , 1975 .

[19]  Bo Li,et al.  A review on vision-based pedestrian detection in intelligent transportation systems , 2012, Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control.

[20]  Takuya Hashimoto,et al.  Prototype of pedestrian-to-vehicle communication system for the prevention of pedestrian accidents using both 3G wireless and WLAN communication , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.