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AI+汽车智能化系列之六——2024Q2车企智驾路测体验比较
算法/功能理论层面:特斯拉FSDv12版本持续迭代,感知-规控全栈端到端落地,支持北美地区完全点到点领航驾驶。国内车企以BEV+Transformer实现精准感知,并逐步提升learning-base占规控算法比例,整体算法框架趋向全面端到端;华为/小鹏预计24Q3落地端到端智驾算法,步伐相对靠前。
实际路测体验层面:为真实判断不同车企智驾算法能力强弱,同时直观反映车企智驾能力纵向迭代速率差距,我们尝试搭建智驾道路实测评判框架:区分“启停+行驶”双环节,前者涵盖权限限制+启动+断点接管+结束四部分,后者包括城市覆盖面(开城情况)+道路覆盖面(第一类断点)+临时处理(第二类断点)三部分,逐步逼近不同玩家智驾能力边界。(PS:智驾算法能力与数据积累形成正循环,头部玩家迭代速度较快,因此能力比较需保持高频跟踪,本文只代表某时间截面能力比较) 车企维度:特斯拉整体表现优异,可以实现原地启动FSD、全路段无限制、多场景流畅处理、不强制接手扶方向盘以及自动停泊等功能,充分接近人类驾驶(处理反应速度稍有差距)。国内头部华为问界/小鹏等车企在原地启动/道路覆盖面/场景处理流畅度等方面均有差距;蔚来/智己/阿维塔等其余车企整体在启停/道路覆盖/场景处理能力等方面表现更弱。
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