Autonomous driving is widely considered as a major use case in 5G and beyond networks. Without human intervention, connected cars have been considered as typical autonomous vehicles that account for various intelligent controls. Specifically, path planning is an essential technology that allows connected cars to search for driving space. We propose to leverage in-network computing and demonstrate its potential to execute path-planning for connected cars.