GIS in Auto Industry
What is the potential for GIS technology to integrate into the new frontier of driverless vehicles?
GIS is a system designed for location enabled purposes and is used in different ways like mapping and storing the geographic data. Technology is evolving rapidly. Artificial intelligence, geotargeting, automation, and other advancements in information technology specifically set the stage for more technological evolution.
Advancement in GIS and other technologies has led to products like real time navigation, traffic control, and routing. GIS in automobiles and transportation makes them more efficient and effective, as it provides many location services like tracking and navigation system.
Precise, Accurate and Up-To Date Maps
We’ve partnered with Navigation Companies to build high definition (HD) maps delineating lane markings for drivable areas. In turn, self-driving cars use this to know precisely where they are and heading.
GIS and Mapping Services have helped powere:
- Automated Vehicle Location (AVL) and Dispatch Systems
- Route Planning
- Traffic Analytics
- Supply and Distribution of goods
- Real-Time Navigation
Self-Driving Cars
Self-Driving Car/Driverless Car (Autonomous Car) is vehicle capable of sensing its environment and operating without human involvement.
Autonomous cars uses LiDAR, radar, cameras, and position estimators that constantly scan in 360°. Combined with SLAM (Simultaneous Localisation and Mapping), cars map their surroundings in real-time orientating themselves based on sensor input.
Time of Flight (TOF)
TOF– sometimes laser scanners or laser radar measures distance by measuring the time that it takes to get the laser pulse to the measured object and back. By doing this many many times per second, you are able to get a accurate distance and gain enough information to be able to tell quite a bit about the object that you are looking at.