近日，长城汽车发布了一项关于智能驾驶安全性的研究数据，称其‘人机共驾’系统在实际道路测试中，事故率比纯人工驾驶低6倍，即安全性提升至人工驾驶的6倍。所谓‘人机共驾’，是指车辆由人类驾驶员与智能驾驶系统协同控制，在复杂或高风险场景下，系统可主动介入，辅助甚至接管驾驶任务，从而显著降低人为操作失误带来的风险。长城汽车表示，这一结论基于数百万公里的真实道路测试数据，并结合了其自主研发的Coffee Pilot智能驾驶平台。该平台融合了高精度感知、决策算法和冗余控制系统，能够在高速、城市快速路及部分城区道路实现L2+级别的自动驾驶功能。通过实时监测驾驶员状态与道路环境，系统可在关键时刻提供预警、制动或转向干预，有效预防追尾、车道偏离等常见事故。值得注意的是，‘安全6倍’并非指完全替代人类驾驶，而是强调人机协作在提升整体行车安全方面的巨大潜力。长城汽车强调，未来将继续优化人机交互逻辑，推动智能驾驶从‘辅助’向‘共驾’再向‘全自动驾驶’演进，最终实现零事故愿景。
Recently, Great Wall Motor released research data on the safety of its intelligent driving system, claiming that its ‘human-machine co-driving’ system demonstrates a sixfold improvement in safety compared to purely human-driven vehicles—meaning accident rates are reduced by a factor of six. ‘Human-machine co-driving’ refers to a collaborative control model where both the human driver and the intelligent driving system share driving responsibilities. In complex or high-risk scenarios, the system can proactively intervene, assisting or even temporarily taking over driving tasks to significantly reduce risks caused by human error.According to Great Wall Motor, this conclusion is based on millions of kilometers of real-world road testing data and leverages its self-developed Coffee Pilot intelligent driving platform. This platform integrates high-precision perception, advanced decision-making algorithms, and redundant control systems, enabling L2+ autonomous driving capabilities on highways, urban expressways, and select city roads. By continuously monitoring both driver status and road conditions, the system can issue warnings or execute emergency braking or steering interventions to effectively prevent common accidents such as rear-end collisions and lane departures.It’s important to note that the ‘six times safer’ claim does not imply full replacement of human drivers but highlights the significant potential of human-machine collaboration in enhancing overall driving safety. Great Wall Motor emphasizes its ongoing efforts to refine human-machine interaction logic, aiming to evolve intelligent driving from ‘assistance’ to ‘co-driving’ and ultimately toward full autonomy, with the ultimate goal of achieving zero traffic accidents.
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