Page 22 - TT June for Digital

ON THE COVER

lane marking without indication
(improve lane discipline), (b) Lateral
drifting within lane (preventing
unintentional drifting), (c) Drifting
from lane without indication
(vehicle changing lane) and
proposed warnings based on their
severity levels.
The methodology illustrates a
mechanism to leverage sparse
point cloud data for the robust
identification of lane markings,
significantly enhancing the
accuracy and reliability of the
lane detection system. Secondly,
the approach introduces a novel
and pragmatic strategy for the
development of lane departure
warning systems, categorizing
and addressing different types of
vehicle movements based on their
severity levels, an area that remains are crucial for ensuring safe By doing so, they aim to provide
underexplored in current research. driving conditions and preventing recommendations for specific
accidents. However, many of these headways, which are the distances
In this context, “safety surrogate thresholds are often derived from between vehicles, that are more
measures” refer to indicators that research conducted in developed
are used as proxies for safety- nations and may not accurately suitable for Indian driving conditions.
related outcomes, such as traffic reflect the driving behaviors and Furthermore, the researchers have
flow characteristics or driver conditions in countries like India. also considered night-time driving
behavior. These measures are used scenarios in the studies. This is
to estimate critical thresholds, Recognizing this limitation, an important addition, as driving
which are specific values or researchers at IIT Roorkee have conditions and behaviors can differ
ranges that indicate when certain conducted studies to estimate significantly between day and night,
safety issues are likely to occur. these critical thresholds based and addressing these differences is
When it comes to expressway on the specific driving behaviors essential for ensuring road safety
driving, these critical thresholds and conditions observed in India. around the clock. TT

MG Hector Introduces Advanced ADAS (Level 2) for Indian Roads

he latest version of MG Hector comes customised for the Indian market, addressing
equipped with Advanced Driver Assistance the unique challenges faced on our roads. The
TSystems, designed specifically for India’s development of ADAS software involved careful
diverse road conditions. Developed in partnership calibration to adapt to the varied terrain and
with Bosch, this achievement represents a driving conditions found across India. Extensive
significant milestone in automotive innovation, data gathering and testing were conducted over
blending local engineering expertise with global extended periods to ensure reliability and optimal
collaboration. performance. The rigorous testing process involved

The Hector ADAS Level 2 capabilities include scrutinizing every aspect of the ADAS system, with
Traffic Jam Assist (TJA), Adaptive Cruise Control feedback loops integrated to continuously refine
(ACC), and Auto Emergency Brake (AEB) its functionality.

22 TRAFFICINFRATECH / June 2024 / www.trafficinfratech.com