DISCOVERY ARTICLES
challenge, and object detection and
avoidance challenge.
environment mapping with complex
perception algorithms.
“Everyone else at the competition
didn’t rely on maps because they
figured they could do it entirely with
perception,” Cohen said. “But the
environment wasn’t as well regulated as
they thought.”
Because their vehicle could navigate
the faded lane lines, Victor Tango
AutoDrive was the only team to
complete the second, lateral challenge.
Over the next two years the car will
carry out more complex tasks, such
as moving at higher speeds, making
U-turns, and dodging a dynamic object.
By 2020 the team will produce a level
four autonomous vehicle – capable
of steering, braking, and responding
to traffic without the need for human
intervention, according to SAE
standards.
In year one of the three-year
competition teams focused on concept
selection by becoming familiar with
sensing and computing software. They
wrote a concept design, and completed
an on-site evaluation with dynamic
tasks such as straight roadway driving
and object avoidance and detection.
The team placed in the top three
in each category including first in
the lateral challenge and third in
social responsibility report, social
responsibility presentation, mapping
AUTODRIVE TAKES 3RD
IN GM COMPETITION
23