Renesas is entering the automotive radar market with the introduction of a 4x4-channel, 76-81GHz transceiver.
With the theme "Gearing Up for Growth: Electronics and Semiconductor Technologies Driving Industry Developments in Asia," EAC 2022 will focus on applications including IoT, wireless technologies, automotive electronics, and the supply chain.
Three different classes of ADAS system processing are needed—edge, zonal and central—with three different profiles.
The ideal architecture to make a viable and flawless L4 AD control loop must meet at least seven essential requirements.
Here is how to perform testing of the Point-GNN algorithm using LiDAR data in the simulated environment for autonomous vehicle designs.
Wouldn't it be great if you could know in real time what is happening outside your line-of-sight?
The R-Car V4H enables high-speed image recognition and processing of surrounding objects by automotive cameras, radar, and lidar.
Renesas, along with Fixstars, is taking deep learning designs built around its R-Car SoCs to the cloud to facilitate instant initial evaluations when selecting chips for ADAS and autonomous vehicle designs.
Microchip's Switchtec Gen 4 PCIe switches provide low-latency, low-power and high-performance connectivity for ADAS designs.
Keysight's Radar Scene Emulator emulates up to 512 radar objects and distances as close as 1.5m.