An Improved Robust Low Cost Approach for Real Time Vehicle Positioning in a Smart City

By Ikram Belhajem, Ahmed Tamtaoui. 2016

8 citations recorded by the source corpus.

Subfields: Building and Construction, Electrical and Electronic Engineering, Mechanical Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Zheng Yan
2. Laurence Tianruo Yang
3. Wenxiu Ding
4. Xuyang Jing
5. Ahmed Tamtaoui
6. Ikram Belhajem

In Electrical and Electronic Engineering

1. Zheng Yan
2. Wenxiu Ding
3. Xuyang Jing
4. Laurence Tianruo Yang
5. Ahmed Tamtaoui
6. Ikram Belhajem

In Mechanical Engineering

1. Zheng Yan
2. Laurence Tianruo Yang
3. Wenxiu Ding
4. Xuyang Jing
5. Ahmed Tamtaoui
6. Ikram Belhajem

Citations in the corpus

• A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “9 min Y N N [107] Traveler information estimation Traffic, weather data Linear weighted sum Arterial road data in Singapore Y N - - - - - Y N N [109] Traveler information estimation Traffic data Weighted average method Beijing traffic data Y N - - - - - N Y N [37] Position estimation Car and GPS dat”
• Improving Vehicle Localization in a Smart City with Low Cost Sensor Networks and Support Vector Machines (2017, methodology): “Replacing the EKF completely by NN can be a non-optimal solution: in our previous works [13, 14], we claim that the use of NN only [13] or coupled to Autoregressive Integrated Moving Average (ARIMA)”