The networking challenges confronting autonomous vehicles
In my previous article, I discussed how sensor fusion is paving the way for the future of autonomous vehicles (AVs), allowing them to replicate human senses through the combination of data from multiple inputs, including radar, LiDAR, and camera sensors. By fusing together this data, automakers can mitigate the shortcomings of individual sensors to gain a complete picture of a vehicle’s surroundings and provide high levels of spatial awareness.