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Edge computing revolutionizes autonomous driving by processing sensor data locally at the vehicle level, enabling real-time decision-making with reduced latency and enhanced data security. This distributed approach addresses the limitations of centralized cloud computing for time-sensitive applications like self-driving vehicles. (边缘计算通过在车辆本地处理传感器数据，实现实时决策，显著降低延迟并增强数据安全性，解决了集中式云计算在自动驾驶等时间敏感应用中的局限性。)

5G and Multi-access Edge Computing (MEC) integration enables low-latency, high-reliability data processing at the network edge, supporting critical applications like autonomous driving by providing real-time navigation, path planning, and obstacle avoidance. (5G与多接入边缘计算（MEC）的融合，通过在网络边缘实现低延迟、高可靠性的数据处理，为自动驾驶等关键应用提供实时导航、路径规划和避障服务。)