On September 14, 2021, Shanghai, China – Cognata, the world’s leading
autonomous and robot simulation platform, participated in the 2021 China
commercial vehicle autopilot conference. It provides a large-scale fast lane
simulation and verification cloud platform for L3-L4 autopilot and helps the
verification and landing of L3 + complex scenes of Chinese commercial
vehicles, which has attracted much attention.
In 2018, the first year of commercialization known as artificial intelligence,
the application of autopilot as artificial intelligence in the automotive industry
has been developing rapidly. Especially in the commercial vehicle field, the
mature landing of L4 automatic driving technology of several commercial
vehicles means that commercialization has become a reality. In the future, it
will continue to detonate more forward-looking business practices and further
promote the development and maturity of automatic driving technology.
There are two difficulties in commercial vehicle automatic driving: one is scene
recognition and action prediction, planning and control; Second, software and
hardware information exchange is real-time and accurate. For example, self
driving trucks such as ports and long-distance freight transport will face many
complex traffic scene challenges when they leave the closed road section and
enter the urban connecting road section, which requires a lot of training and
verification; Highway transportation, which accounts for 76% of the logistics
transportation in the whole society, also often encounters extreme road
conditions that ordinary people can’t imagine, such as road bridges and tunnels,
harsh environment, mountain valleys, winding roads, perception and positioning
at both ends of the expressway, which is no easier than Robo taxi.
As an indispensable part of L3-L4 autopilot technology – simulation test,
Cognata autopilot simulation cloud platform has unparalleled advantages in
complex scene simulation, perception and visual algorithm verification.
Advanced digital twin technology can not only truly build urban, port, airport
and warehouse scenes, but also accurately build field operations, such as farming,
planting and intelligent agricultural robots, so as to help commercial vehicle
enterprises train ADAS algorithms and automatic driving algorithms in different
working scenes; At the same time, the accurate and powerful sensor simulation
enables the full “eyes” of commercial vehicles to see “truly”, ensuring the first
step of correct and timely operation.
According to a survey conducted by hi tech intelligent vehicles, automatic driving
can reduce the operating cost of commercial fleets by about 45%, which is
undoubtedly a powerful factor to accelerate the development of commercial
vehicles and the research and development of automatic driving technology.
In addition, it is also the common wish and goal of enterprises, drivers and
even the whole society to eliminate man-made traffic accidents as much as
possible. According to statistics, 32% of the traffic accidents every year come from
cargo cars and 49% from passenger cars. Among the factors leading to truck
accidents, the driver factor accounts for 37%, the equipment factor accounts
for 35%, the average compensation for the accident is ¥35K RMB/ vehicle,
and the average shutdown loss is ¥35K RMB / vehicle. What’s more, it leads to
casualties and human tragedy.
Therefore, we can speculate that for the dual goals of value and humanity, the
action of commercial vehicles to embrace automatic driving technology will
continue to be enthusiastic. With the rise of more and more intelligent
hardware streams such as on-board sensors, domain controllers and computing
chips, and the explosion of simulation software streams, we may usher in a new
wave of breakthroughs in automatic driving technology in the near future!