The Importance Of Position Information Systems

Imagine being able to get into your car and simply typing in your desired destination, and then reclining your seat to watch a movie or text a friend. During this time, the car is basically driving itself. Well, soon this may be possible this invention is called an autonomous car. An autonomous car, or driverless/ robotic car, is a car that is designed to drive without human interference. Essentially, drivers can program their destination into the car’s GPS system and then sit back and relax. Some of the world’s largest car companies are currently creating autonomous vehicles, such as Audi, Toyota, Volvo, Mercedes, and countless others. The driverless vehicle is now becoming a clearer and more present reality, and has been discussed and planned for decades. The autonomous vehicle offers significant benefits, but raises many questions and difficulties.

Corporations like Google and Tesla are road testing autonomous vehicles. Google's driverless cars have completed over 2 million miles of autonomous driving on California roads. Tesla's vehicles all come with the hardware necessary for autonomous

The Global Positioning System (GPS) is satellite based navigation system that provides location & time information in all weather conditions. So in this application I will use the GPS System for track the bus location. It can

IEEE Std 982.1-2005 (Revision of IEEE Std 982.1-1988) - IEEE Standard Dictionary of Measures of the Software Aspects of Dependability

ACCURACY – that the work is marked against the listed criteria. Evidence of a Candidate’s knowledge, understanding, skill or competence that can be used to make a judgment of their achievement against agreed standards/criteria

One of the most frustratingly difficult problems for autonomous vehicles is obstacle detection and avoidance. For cars especially, the diversity of the types of obstacles they may come across is what really breaks down even the most complicated detection methods. A very common example is a machine learning system which has been trained on large sets of obstacle images; the first time it runs

Currently, self-driving cars are fitted with sensors that determine where they are on in the world and in their lane. Radar sensors are able to position themselves based on detecting nearby cars, cameras look out for objects in front of them and are able to read traffic signs, detect traffic lights and potential obstructions in the road. They are designed to detect objects based on the characteristics they posses. Google’s technology is currently designed to be used in all facets of the road whereas Tesla’s is currently specifically meant for highway usage. Currently both Google and Tesla are using electric cars for their autonomous driving, but that is not required for a self-driving car to function. Autonomous cars are classified

Power of Buyers: According to the case, Google is the only company that currently has entirely self-driving cars on the road.

Precision is the degree of concordance among a number of estimates of the same population (repeatability). It is used to estimate the number of replicate samples required for it to be representative of the population. Precision is defined as Standard Error divided by Mean.

Reliability: the extent to which a measurement yields consistent stable and uniform results over repeated observations or measurements.

GPS tracking and positioning is also incorporated into every automated car, for the self-evident purpose of informing driver and car where they are and where they're going. Some cars

Self-driving vehicles sense their surroundings using radar, GPS and computer vision. Advanced control systems interpret the information to identify navigation paths, obstacles and road signage. Some of these vehicles can update their maps, allowing the vehicle to keep track of their position when conditions change.

Abstract— Reliable software is defined as the probability of failure-fee operation of a software system for a specified time in a specified environment. Unreliable software is defined as the when a software system has failures and faults within its operation. Software is unreliable when a computer program cannot perform their assigned functions in the system’s environment and ends up crashing. Many computer software specialists have been used to thinking that if a program has one or more errors in it, it is 0% reliable; if no errors 100% reliable [3].

Precision (Completeness): Precision is the proportion of accurately anticipated positive perceptions to the aggregate anticipated positive perceptions. On the off chance that precision is high there will be low false positives. It is frequently restricting to recall as it is intuitive that lower recall give higher precision.

The relative positioning of articulated vehicles is identified in the system and also to maintain the load stability of the system is presented. Here the implemented system can monitor the working conditions of the whole system by using MEMS sensor to measure the relative positioning of the system with the load stability on the wireless end device. The system is consists of two wireless devices called Wireless Master Device (WMD) installed on the main