Adaptive Cruise Control (if available)
Attention
The ARAS rider assistance systems must have
been previously enabled by your Ducati dealer.
Important
Before reading the contents of this sub-
section, carefully read "Road safety rules" (page 5).
Introduction: Assist System Limitations
The Adaptive Cruise Control system (ACC) requires
familiarity with its operational characteristics. We
strongly recommend that the rider carefully
reviews all of the information in this section of the
Owner’s Manual before operating this system. This
motorcycle’s assist system does not function in the
same manner as similarly named systems in
passenger vehicles. As one example, the ACC on this
motorcycle will not activate braking if the rider
approaches stopped traffic. The ACC cannot detect
oncoming objects, cross traffic, bicycles, scooters,
motorcycles, pedestrians, animals, stationary
objects, and vehicles with high ground clearance,
raised suspension, or an overhanging load. When
cornering, the ACC may react to a vehicle located in
an adjacent lane and may activate the brakes. As the
rider, you must anticipate sudden braking or
accelerating when using ACC. The rider must always
ride with both hands on the handlebars to maintain
maximum control of the motorcycle. The sections
below provide additional important information
regarding the ACC’s capabilities and limitations.
The rider is and must always remain responsible for
safely operating the motorcycle even if there are
assist systems (such as ACC) on it.
Assist systems, such as the ACC, analyze
surrounding situations, making a logical prediction
of events that may occur based on the information
the system processes.
These systems are only designed to assist the rider;
they are not autonomous riding systems intended to
replace the rider. The rider is always responsible for
choosing the appropriate riding style and for
adopting the level of caution and attention required
by the specific road, traffic and weather conditions,
as well as respecting the local laws.
These systems use predictions that depend upon
and are impacted by the environmental context and
the possible recognition of surrounding objects.
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