High precision maps beyond vision!
What is a High-Definition Map?
An HD Map or a High-Definition map is built for purposes ranging from Advanced driver-assistance systems (ADAS) to fully Autonomous driving. And this requires maps with detailed content. HD maps concentrate on providing information and pin pointing lanes, road boundaries, curves, height of curves, roadside objects such as sign posts, speed limits, traffic signals and so on, all with centimeter precision. It is a map for the ‘machines’.
What is RoadMetrics doing?
RoadMetrics’ vision is to make AI based road and street mapping a reality in India. For this vision to bear fruits and for machines to make the right decisions on the road, we need maps specifically made for this purpose. RoadMetrics plans on using its in-house vehicle that travels around the city to map road data by putting all the sensors together. The data gathered will be used to build an HD Map.
What are we using?
Light Imaging Detection and Ranging is a remote sensing technology used to calculate the distance of an object. Lidar emits laser light pulses. The large amount of laser light pulses forms a point cloud which gives the high precision of a Lidar. This point cloud can be used to get dimensions of any object at centimetre level precision.
Cameras work together with the Lidar, providing the car with visuals of its surroundings and helps it detect the speed and distance of nearby objects, along with their three-dimensional shape. The car depends on these cameras to get a 360-degree view of its surroundings.
The Global Positioning System (GPS) connected directly to the Lidar records the path that the car is driving through while mapping the road data. This path and data will be used by the autonomous car to navigate safely and help the system to make decisions.
Why HD Maps?
Accurate mapping structure with centimetre level precision with no room for error
Gives context to what the sensors detect
Provides redundancy to the sensors to overcome limitations due to any unpredictable natural occurrence