Displaying an analysis report on most advancement autonomous vehicles, for obstacle detection and avoidance.

1. Instant Tech Insights
@ (1) Click
Lidar
Analysis as of 2022-07-21
Machine Generated Insights
The insights were generated in an incredible
1676 seconds.
(c) All Rights Reserved Machine Generated Insights

2. How to read the report?
• Guideline
– These reports are meant to give you a quick overview of the technology trends around the keyword. Use it as a way to quickly understand an area or as a
way to check your hunch. Run queries for related keywords to get a more holistic picture of the area.
• Where is it most useful?
– Get inputs for R&D roadmap: See pages with title "What are the focus & topic areas?" under Research View
– Align tech stack to industry: See pages with title "What are developers focused on?"
– Understand investment maturity : See pages with title "Top applicants", "What are the key topics?" etc under patents section
– Identifying trends to keep an eye out for: See pages with title "What are the focus areas?"

3. Research View
• Let us understand technology advancements. Research agenda is key to understanding the upcoming technologies that are being researched that will have a
major influence in this space. We do this by analysing research papers to understand emerging technologies.
• Two categories you will see
– Where is the research focused on?
– What are developer questions focused on?

4. What are the focus areas?
• We analyze 2453 research papers
• Let us take 3 views of what areas are being
researched. 1) basis words in the abstract 2) basis
topic classification of the papers 3) discipline
classification
• The top trends basis words are seen in the chart
• object detection, 3d object, autonomous driving,
autonomous vehicle, neural network are the top 5
areas

5. What are the key topics?
• The top trends basis topics are seen below
• Multimodal_interaction, Global_Positioning_System,
Virtual_reality, Market_research,
3D_computer_graphics are the top 5 areas

6. What are the key disciplines of research focus?
• Research progresses across multiple disciplines. The
top discipline trends are seen below that provides
insights on how the topic is evolving.
• The top 5 disciplines are:
• discipline_1: Computer Vision and Pattern Recognition
• discipline_2: Robotics
• discipline_3: Quantum Physics
• discipline_4: Computer Vision and Pattern
Recognition:Robotics
• discipline_5: Robotics:Computer Vision and Pattern
Recognition

7. What are the top cited papers?
• Citation of a paper is a key measure of importance of a
technology/ concept articluated in a paper. Here we
list the titles of top cited papers & show a timeline of
the top cited papers.
• Cited count: 1685 Title: Lidar Remote Sensing for
Ecosystem Studies
• Cited count: 1085 Title: LOAM: Lidar Odometry and
Mapping in Real-time
• Cited count: 824 Title: Real-time loop closure in 2D
LIDAR SLAM
• Cited count: 785 Title: Mapping forest canopy height
globally with spaceborne lidar
• Cited count: 526 Title: Development of a UAV-LiDAR
System with Application to Forest Inventory

8. What are developers focused on?
• As part of R&D developers build and in the process as
questions in developer forums. Let us understand
trends from this source.
• A total of 600 questions were analyzed.
• lidar, python, c++, point-clouds, arkit are the top 5
areas

9. Patents View
• Now that we’ve understood the future research view let us switch gears to understand companies that are investing & leveraging these technology
advancements. Patent analysis is key to understanding technologies that are being utilized in this space. This also gives us an insight into organizations that will
play a key role going forward.
• Two categories you will see
– Analysis of patenting trends
– Company landscape analysis

10. What are patent filings trends?
• A total of 29837 patents were seen over the years.

11. What is change in applicants?
• The chart shows change in number of applicants/
innovators
• An increase would suggest new entrants while a
decrease would suggest consolidation of innovation
amongst smaller set of companies

12. Who are top applicants?
• The chart shows change in number of applicants/
innovators

13. Who are new entrants?
• A vibrant area is one where new entrants are filing
patents. Here are companies that have filed in last 5
years sorted by number of citations of their patents.

14. What are the focus areas?
• The chart shows change in focus areas over time in the
last 5 years
• OR the latest 9155 were analyzed

15. What are the key topics?
• The top trends basis topics in the last 5 years are seen
below
• Laser_art, Measuring_instruments, Sonar,
Global_Positioning_System, Antennas_(radio) are the
top 5 areas

16. What are the key disciplines?
• Patenting progresses across multiple disciplines. The
top discipline trends are seen below that provides
insights on how the area is evolving.
• The top 5 disciplines are:
• cpc_1: Constructional features, e.g. arrangements of
optical elements relating to scanning
• cpc_2: Lidar systems specially adapted for specific
applications for mapping or imaging
• cpc_3: Lidar systems specially adapted for specific
applications for anti-collision purposes of land vehicles
• cpc_4: Means for monitoring or calibrating
• cpc_5: Simultaneous measurement of distance and
other co-ordinates

17. What are the emerging discipline areas?
• Emerging discpilines that are picking steam in the last
couple of years is shown in the chart.
• The top 5 emerging disciplines are:
• cpc_1: Planning or execution of driving tasks specially
adapted for specific operations
• cpc_2: Navigation; Navigational instruments not
provided for in groups G01C1/00 - G01C19/00 by using
measurements of speed or acceleration executed
aboard the object being navigated; Dead reckoning by
integrating acceleration or speed, i.e. inertial
navigation combined with non-inertial navigation
instruments with ranging devices, e.g. LIDAR or RADAR
• cpc_3: Planning or execution of driving tasks involving
control alternatives for a single driving scenario, e.g.
planning several paths to avoid obstacles
• cpc_4: Cleaning windscreens, windows or optical
devices specially adapted for cleaning other parts or
devices than front windows or windscreens for
signalling devices, e.g. reflectors the operation of at
least a part of the cleaning means being controlled by
electric means
• cpc_5: Making measurements of geologic samples,
e.g. measurements of moisture, pH, porosity,
permeability, tortuosity or viscosity

18. What are the top cited patents?
• Citation of a patent is a key measure of importance of
a technology/ concept articluated in the patent. Here
we list the titles of top cited patents & show a timeline
of the top cited patents.
• Cited count: 1172 Title: GPS vehicle collision
avoidance warning and control system and method
• Cited count: 540 Title: Bar code symbol reading
system supporting visual or/and audible display of
product scan speed for throughput optimization in
point of sale (POS) environments
• Cited count: 523 Title: Symbol reading system
• Cited count: 489 Title: GPS vehicle collision avoidance
warning and control system and method
• Cited count: 426 Title: Camera-based tracking and
position determination for sporting events

19. What are the emerging cited patents?
• Here we list the titles of top cited patents in last 12
months & show a timeline of the top cited patents
adjusted for age.

20. This report was auto generated by Code+AI algorithms driven
machine on 2022-07-21
We thank you for considering us for your business insight needs.
Need more in depth analysis or have suggestions do write to us
at info@decodem.ai
Disclaimer
The situation surrounding technologies & trends is dynamic and rapidly
evolving, on a daily basis. Although we have taken great care prior to
producing this presentation, it represents Decodem Technologies Pvt Ltd’s
view at a particular point in time
Decodem Technologies Pvt Ltd does not provide investment, legal, medical or
other regulated advice or guarantee results. These materials reflect general
insight based on information currently available and do not contain all of the
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has not been generated or independently verified by Decodem Technologies
Pvt Ltd and is inherently uncertain and subject to change. Decodem
Technologies Pvt Ltd has no obligation to update these materials and makes
no representation or warranty and expressly disclaims any liability with
respect thereto
Conclusions contained in these materials are based upon Machine Learning
methodologies, are not definitive forecasts, and are not guaranteed by
Decodem Technologies Pvt Ltd
(c) All Rights Reserved Machine Generated Insights