LIDAR Self Driving Car

Increasing population is the major issue of transportation nowadays. People who live and work in the major cities of the world are faced with increasing levels of congestion, delays, total travel time, costs, frustration, accidents and loss of life. The objective of this project is to help prevent traffic accidents and save people’s time by fundamentally changing car use. The system would have sensors to detect the obstacles and to be able to react according to their position. In this project we have developed an automated driving system which drives the car automatically. We have developed a technology for cars that drives it automatically using LIDAR. This car is capable of sensing the surroundings, navigating and fulfilling the human transportation capabilities without any human input. It continuously tracks the surrounding and if any obstacle is detected vehicle senses and moves around and avoids the obstacle. An autonomous car navigation system based on Global Positioning System (GPS) is a new and promising technology, which uses real time geographical data received from several GPS satellites to calculate longitude, latitude, speed and course to help navigate a car. As we know the development of gps is more improved now the accuracy of gps we can see centimetre also so Like for our car to go at specific inputted location we use this gps technology.Lidar is used for sensing the surroundings. Like radar, lidar is an active remote sensing technology but instead of using radio or microwaves it uses electromagnetic waves. Keywords: Congestion, Traffic Accident, LIDAR sensor, Global Positioning System, Electromagnetic waves

ON RAIN INFORMATION AS MAP FEATURES FOR CAR NAVIGATION SYSTEMS

In this paper we present a design concept, architecture and implementation of a microservice to process and integrate rain information into a car navigation system in the form of rain map features. Two different input data sources are considered: QuadTile JSON format and GeoTIFF images. Our system converts this input data into an ouput GeoJSON format with only the most relevant information for the map overlay system in the navigation system of the car. We discuss different options for the cloud appearance, like color, shape and transparency. We present our microservices architecture together with data pipelines and implementation. Our approach allows for low latency and spare computing resources, which are especially needed in embedded systems. Finally, we discuss the advantages and disadvantages of our approach as well as further work.

The Path Optimization Algorithm of Car Navigation System considering Node Attributes under Time-Invariant Network

Vehicle path planning plays a key role in the car navigation system. In actual urban traffic, the time spent at intersections accounts for a large proportion of the total time and cannot be ignored. Therefore, studying the shortest path planning problem considering node attributes has important practical significance. In this article, we study the vehicle path planning problem in time-invariant networks, with the minimum travel time from the starting node to the destination node as the optimization goal (including node time cost). Based on the characteristics of the problem, we construct the mathematical model. We propose a Reverse Order Labeling Algorithm (ROLA) based on the traditional Dijkstra algorithm to solve the problem; the correctness of the proposed algorithm is proved theoretically, and we analyse and give the time complexity of the ROLA and design a calculation example to verify the effectiveness of the algorithm. Finally, through extensive simulation experiments, we compare the performance of the proposed ROLA with several other existing algorithms. The experimental results show that the proposed algorithm has good stability and high efficiency.

Raspberry PI as a tool supporting real-time tracking

In the article a functional GPS locator description has been presented based on microcomputer Raspberry PI, which can transfer your localization using GSM technology and visualize GPS data in real-time e.g. with Google maps. Normally when using car navigation system or mobile one it’s displaying our localization on map and showing the best path connected to the distance and other factors from our place to the destination one. The locator instead can be used to track objects or people. It’s worth to mention that in the contrary to the GPS we do not have to be physically close to it in order to get data, because it can send data in the stream mode through the internet. Since implementation of the GPS systems into the market consumers and companies try to outdo each other in inventing new modern ways of using this technology in day-to-day life. Navigation systems and tracking ones prevent us from getting lost, when we are in unknown places, they monitor children when they are out of home. They sup-port vehicles tracking all the time, therefore they are one of the most effective ways of increasing quality and efficiency of the management systems used in logistics. They enable better searching and materials management as well as faster information gathering through modern technology usage.