Simulation testing for 3D object detection, collision prediction in AVs
Here is how to perform testing of the Point-GNN algorithm using LiDAR data in the simulated environment for autonomous vehicle…
C-V2X certification – necessary or just nice to have?
Wouldn't it be great if you could know in real time what is happening outside your line-of-sight?
Renesas SoC targeted at automated driving Level 2+/3
The R-Car V4H enables high-speed image recognition and processing of surrounding objects by automotive cameras, radar, and lidar.
Software development for automotive SoC taken from SDK to cloud
Renesas, along with Fixstars, is taking deep learning designs built around its R-Car SoCs to the cloud to facilitate instant…
Microchip automotive-qualified Gen 4 PCIe switches enable autonomous driving ecosystem
Microchip's Switchtec Gen 4 PCIe switches provide low-latency, low-power and high-performance connectivity for ADAS designs.
Keysight emulator accelerates path to full vehicle autonomy
Keysight's Radar Scene Emulator emulates up to 512 radar objects and distances as close as 1.5m.
Automotive LiDAR: What it is and how it works
Combining radars' ranging capability with the angular resolution of cameras, LiDAR provides accurate depth perception sensing for a full view.
Renesas accelerates deep learning development for ADAS, automated driving applications
Renesas' R-Car SDK enables quicker and easier software development and validation for smart camera and automated driving applications.
NI and Seagate partner to improve how data accelerates AV technology
NI and Seagate Technology Holdings are collaborating to enhance data storage and transfer services.
Renesas automotive camera solution enables HD video using low-cost cables and connectors
Renesas solution enables cost-effective implementation of numerous safety features in virtually any vehicle.