Autonomous Vehicles - KPIT

on road. The technology that is developed in
making ADAS, directly or indirectly,
contributing to the development of a driverless
car and importantly further development of
ADAS will create an autonomous
environment.
I V . W o r k d o n e a t K P I T
Technologies
KPIT, as a technology provider, is making
efforts in developing technology required for
ADAS. In last 5 years, KPIT has developed
multiple ADAS features, published 28
technical papers and filed for 9 patents.
Research at KPIT has advanced to deal with
multiple hurdles such as sensor variability,
real life challenges, and performance issues.
It has led to the development of new
technology, sensor know-how, object
detection algorithms, hardware optimization,
control algorithms, multicore expertise, critical
test methodologies and vehicle integration.
Figure 6: Major Challenges while developing
Camera Based Driver Assist System
Features such as Pedestrian Detection,
Forward Collision Warning, Lane Departure
Warning, Blind Spot Monitoring, Traffic Sign
Recognition, Advanced Beam Control and
Driver Status Monitoring constitute major
portion of a complete ADAS system. Our focus
has been on development of all these
features. These algorithms are configurable
for different vision sensors and are
independent of the hardware platforms.
Different countries have different traffic
patterns, road and lighting conditions.
Therefore, rigorous testing under multiple
scenarios and tuning of algorithms is very
important in order to ensure stable behavior of
the algorithms.
ADAS
Collision Avoidance
Light Control
FCW LDW TSR ACC LKA NVPD ABC
Vision Systems under development
lFCW - Forword Collision Warning
lLDWS - Lane Departure Warning System
lTSR - Traffic / Road Sign Recognition
Successfully Integrated complex systems
lACC - Adaptive Cruise Control
lLKA - Lane Keep Assist System
Successfully developed and delivered
complex vision systems
lNVPD - Night Visison with Pedestrian
Detection
lABC - Advance Beam Control
Camera based Solution
Figure 7: ADAS Development at KPIT
KPIT has setup a vehicle that is used to collect
data in India. It has also collected test data in
other countries. This data is being used to
carry out the lab tests of the algorithms,
understand and handle peculiar use cases. A
dedicated team of engineers has successfully
handled multiple challenges in implementing
these systems on a passenger car in a real
time environment and is working towards
making these systems operational under
different lighting, weather, road and traffic
conditions. KPIT's advanced research team is
also keeping an eye on future challenges and
has developed technologies for Rain Drop
Removal, Video Stabilization, Noise Handling,
Image Enhancements and multicore
migration tool.
KPIT has also developed configurable
software algorithms for Vehicle Control. These
algorithms are compliant with AUTOSAR and
they are used in ACC (Adaptive Cruise
Control), LKA (Lane Keep Assist) and BSD
(Blind Spot Detection). The Architecture and
Verification strategies of these algorithms are
in compliance with the ISO 26262 Functional
Safety Standards and also support future
sensor fusion applications. Leveraging on its
spread and success in areas of automotive,
KPIT is also providing integrated solutions of
ADAS with infotainment, chassis and brakes.
V. Patents filed by KPIT
Keeping its focus on research, innovation and
frugal engineering, KPIT has filed number of
patents and publications in this area.
30 TechTalk@KPIT, Volume 6, Issue 4, 2013