Driverless automatically guided vehicles are becoming a new trend in transportation
envisioned in a smart city environment. Automatically guided vehicles depend on …

Smart transportation is one of the important factor in the smart city environment because it
enhance the citizen lives style and improving the sustainability. Driverless Automatically …

Autonomous vehicle employ multiple sensors and algorithms to analyze data streams from
the sensors to accurately interpret the surroundings. The aim of the research presented in …

Autonomous cars are the future of automotive industry. Autonomous or driverless cars must
be able to rapidly and accurately sense and analyze their immediate environment to take …

In conventional modern vehicles, the Internet of Things-based automotive embedded
systems are used to collect various data from real-time sensors and store it in the cloud …

Urbanization is imposing many challenges, and vehicular traffic management is one such
challenge. It hampers smooth traffic flow, wastes time, and threats of road safety. Moreover, it …

Purpose Autonomous vehicles rely on IoT-based technologies to take numerous decisions
in real-time situations. However, added information from the sensor readings will burden the …

Self-driving vehicles, combining automobiles with autopilot systems, enable intelligent and
safe driving. Self-driving vehicles can achieve accurate automatic navigation, trajectory …

Because of the inaccessibility of Vehicle-to-Infrastructure correspondence in the present
delivering frameworks,(TLD), Traffic Sign Detection and path identification are as yet thought …

The development of the Internet of Things facilitates various dimensionalities in a home,
industrial and business applications. The integration of sensors and smart objects with …