Consolidating functions from the onboard charger, the DC-to-DC converter, the BDU, the PDU, and the EVSE controller into a single device enables overall package savings, weight savings, and significant cost savings.
As OEMs pursue higher levels of vehicle autonomy, optimizing the strengths of all sensing modalities is critical to provide autonomous driving features that can work in the widest variety of driving conditions.
The compute architecture, the zonal architecture, the networking, and the data management have to be in place to enable the software-defined vehicle.
Artificial intelligence and machine learning can help OEMs provide higher levels of performance and functionality while reducing costs.
On the road to the software-defined vehicles of the future, how do you improve vehicle functionality without changing the hardware? That's where artificial intelligence and machine learning come in.
Our experts reveal what's on the horizon for cloud-native vehicle architectures and explain why OEMs need to get cirrus about cloud computing.
Ongoing innovation in the automotive industry requires constant two-way communication between the vehicle and the developers; that's where the digital feedback loop comes in.
Software development in automotive is unlike any other industry. Learn from our experts about what's needed to handle the scale, complexity, speed and safety of developing software for the vehicles of the future.
Software is driving big changes in the automotive industry, but what trends are driving changes in the software?
As the mobility industry races to deliver a truly software-defined vehicle, it is important to understand what technologies make that possible.
A lot is changing in the automotive industry. Our experts highlight the key trends to watch.