The document discusses LIDAR technology and its applications. It provides an introduction to LIDAR, describing how it uses lasers to measure distance. Examples of applications discussed include traffic sign detection using LIDAR and camera fusion, forestry inventory using LIDAR to measure tree characteristics, and autonomous vehicles using LIDAR for obstacle detection. The document also covers advantages of LIDAR like high accuracy, fast data collection and lower costs compared to other methods.
1. LIDAR TECHNOLOGY AND IT’S
APPLICATIONS
UNDER THE GUIDENCE OF
k.KAVITHA
ASST.PROF
ECE DEPARTMENT
ANURAG GROUP OF INSTITUTIONS
PRESENTED BY-
CH.KARTHIK REDDY
13H61A04D5
3. REFERENCES
PAPER-1
L. Leon and R. Hirata, “Vehicle detection using mixture of deformable parts
models: Static and dynamic camera,” in Graphics, Patterns and Images
(SIBGRAPI), 2012 25th SIBGRAPI Conference on, 2012, pp. 237–244.
PAPER-2
C. Nunny, A. Kummert, and S. Muller-Schneiders, "A novel region of
interest selection approach for traffic sign recognition based on 3d
modelling," in IEEE Intelligent Vehicles Symposium, Eindhoven, The
Netherlands, 2008, pp. 654-659 .
4. INTRODUCTION
Lidar (also called LIDAR, LiDAR, and LADAR) is a surveying method that measures
distance to a target by illuminating that target with a laser light.
The name lidar ,sometimes considered as acronym of light Detection And
Ranging or sometimes Light Imaging,Detection,And Ranging.
LIDAR uses ultraviolet,visible or infrared light to image objects and can be used
with a wide range of targets,including non metallic objects,rain,chemical
compounds.
5. Why lidar….?
It is used to generating and directly geo referenced spatial information.
Laser produces a coherent light source.
It is active sensor,do not require sunlight,they can be used either during the day
or at day light.
Airborne Lidar systems use1064nm.
6. Traffic sign detection based on lidar
reference paper-1
L. Leon and R. Hirata, “Vehicle detection using mixture of deformable parts
models: Static and dynamic camera,” in Graphics, Patterns and Images
(SIBGRAPI), 2012 25th SIBGRAPI Conference on, 2012, pp. 237–244.
R. Dominguez, E. Onieva, J. Alonso, J. Villagra, and C. Gonzalez, “Lidar based
perception solution for autonomous vehicles,” in Intelligent Systems Design
and Applications (ISDA), 2011 11th International Conference on, 2011, pp.
790–795.
7. Description
Currently, intelligent vehicles are equipped with multiple sensors to perceive the
environment. Two common categories of them are camera and LIDAR.
Camera captures color, shape and appearance of the traffic sign. Substantial vision-
based algorithms have been proposed to detect and recognize the traffic sign.
However, this problem is still open and has many challenges.
LIDAR is capable of providing such information. But it cannot acquire the visual
information of the traffic sign. Therefore, fusing the measurements of both sensors
gives a highly promising direction for traffic sign detection and recognition in complex
environments.
8.
9. Forestry based on lidar
Reference paper-2
Direct measurements include:
•Stand Density
•Tree Height
•Crown Width
•Crown Length
Estimates include:
•Volume
•Biomass
•Basal Area
•DBH (diameter at breast height)
10. APPLICATION ON FORESTRY
Forestry applications require a precise inventory of individual trees and groups, or
"stands" of trees in order to address
Forest management and planning,
Study forest ecology and habitats,
Quantify forest fire fuel, and
Estimate carbon absorption.
11. Present Technical Advancement in LIDARPresent Technical Advancement in
LIDAR
This car takes generated maps and combines them with high-
resolution maps of the world, producing different types of data
models that allow it to drive itself.
A LiDAR speed gun is a device used by the police for speed limit
enforcement which uses LiDAR to detect the speed of a vehicle.
The ongoing Lunar Laser Ranging Experiment measures
the distance between the Earth and the Moon using laser
ranging. Lasers on Earth are aimed at retro reflectors planted on
the Moon, and the time for the reflected light to return is
determined.
12. applications
Agriculture : Create a Topographical map of the fields and reveals the slopes and sun
exposure of the farm land.
Archaeology.
Autonomous vehicles: Autonomous vehicles use lidar for obstacle detection and
avoidance to navigate safely through environments.
Biology and conservation.
Geology and soil science: ICESat (Ice, Cloud, and land Elevation Satellite)
Atmospheric Remote Sensing and Meteorology.
Law enforcement: Lidar speed guns.
Military.
Physics and astronomy, Robotics and Spaceflight.
Surveying, Transport , wind farm optimization and many more.
13. ADVANTAGES
High accuracy
Fast acuisation and processing
Higher data density
Cost is less
Canopy penetration and stores additional data
14. CONCLUSION
It has allowed data to be collected that was difficult or impossible to obtain prior
to its introduction.
Data collection and its processing is relatively fast
LIDAR saves clients money
LIDAR offers flexibility
LIDAR is unobtrusive and environmentally friendly