Real-time continuous localization is a key technology in the development of intelligent transportation systems. In these systems, it is very important to have accurate information about the position and heading angle of the vehicle at all times. The most widely implemented methods for positioning are the global positioning system (GPS), vision-based system, and magnetic marker system. Among the...

This paper provides the status of the Vehicle Safety Communications-Applications (VSC-A) research project, which was designed to determine if dedicated short range communications (DSRC) paired with accurate vehicle positioning can improve upon autonomous vehicle-based safety systems or enable new communication-based safety applications. This three-year project is a collaborative effort between ...

In this research we present a Kalman filtering-based motion state estimation method for an autonomous vehicle-trailer system by fusing multiple sensor data, which can be applied directly to autonomous navigation and motion control. The autonomous vehicle-trailer system consists of an autonomous vehicle and a passive trailer which are coupled by a trailer hitch. Our vehicle-trailer system is equ...

In the existing Intelligent Transport System (ITS), only the vehicles are being monitored, instead of catching the faulty vehicle. In this methodology, the vehicles are controlled by controlling the power supply given to the spark plug through Global Positioning System (GPS) and Electronic Control Unit (ECU) within stipulated time duration from the control room itself. Particularly in Indian Tr...

Many driver assistance systems require knowledge of the vehicle environment. As these systems are increasing in complexity and performance, this knowledge of the environment needs to be more complete and reliable, so sensor fusion combining long, medium and short range sensors is now being used. This paper analyzes the feasibility of using ultrasonic sensors for low cost vehicle-positioning and...

We propose IntelliCarTS (Intelligent Car Transport System), a Vehicle-to-Vehicle (V2V) anti-collision mechanism that determines, estimates and absolves collision courses between moving vehicles based on a correlative and cooperative wireless networking scheme. The problem of collision avoidance is abstracted to the generic problem of location awareness and subsequent periodic information exchan...

Low-cost inertial navigation sensors (INS) can be exploited for a reliable tracking solution autonomous vehicles. However, position errors grow exponentially due to noises in the measurements. Several deep learning techniques have been investigated mitigate better [1-10]. these studies involved use of different datasets not made publicly available. The lack robust benchmark dataset has thus hin...