概览
主要功能
- EyeQ SoC 为车辆内 AI 处理器
- 基于摄像头的感知和对象检测
- Road Experience Management (REM) HD 地图
- 责任敏感安全 (RSS) 驾驶政策
- OEM 和汽车车队的 ADAS 解决方案
- Mobileye Drive 自动驾驶平台
价格
- 模型
- Freemium
- 评分
- 4.2 / 5 (5)
使用场景
汽车制造商将 ADAS 整合
汽车制造商将 Mobileye 的 EyeQ SoC 和基于摄像头的感知整合用于提供驾驶辅助功能，如车道保持、碰撞避免和自适应巡航控制
汽车车队安全部署
商业汽车车队部署 Mobileye 的 ADAS 解决方案来减少事故、监控驾驶员行为并提高整个道路安全水平
高精度地图
地图和流动性提供者利用 Mobileye 的基于 REM crowdsourcing 的方法为构建和维护高精度地图使用实际驾驶数据
自动驾驶车辆平台
流动性运营商和汽车制造商使用 Mobileye 的 Drive 自动驾驶和 Chauffeur 平台来开发 Robotaxi 和自主驾驶车辆
优点 & 缺点
优点
- 已经被全球多家汽车制造商采用
- 在基于视觉的感知和 AI 方面非常强大
- 可从 ADAS 到完全自主度可实现可伸缩
- 基于 REM crowdsourcing 的高精度地图
- 基于 REM crowdsourcing 的真实世界地图
缺点
- 主要针对 B2B 市场，个体消费者不可接入
- 主要依赖于摄像头感知
- 整合需要深度对汽车制造商的合作
评测
5 个评分的平均值。
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Solid for our team
We rolled this out across the team last quarter and scalable from ADAS to full autonomy. Road Experience Management (REM) HD mapping fits neatly into how we already work, and mobileye Drive autonomous driving platform removed a step we used to do by hand. Integration requires deep automaker partnerships, which is the main caveat, but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and proven technology adopted by many global automakers. EyeQ SoC for on-vehicle AI processing fits neatly into how we already work, and road Experience Management (REM) HD mapping removed a step we used to do by hand. but it has held up under daily use.
Does the job
Pretty happy overall. ADAS solutions for OEMs and fleets just works and crowdsourced REM mapping for real-world coverage. Integration requires deep automaker partnerships can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Years in this space
I've evaluated a lot of these over the years. What stands out here is aDAS solutions for OEMs and fleets — handled better than most — and scalable from ADAS to full autonomy. Integration requires deep automaker partnerships is my one real gripe. Worth the time if this is your use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is eyeQ SoC for on-vehicle AI processing — handled better than most — and crowdsourced REM mapping for real-world coverage. Integration requires deep automaker partnerships is my one real gripe. Worth the time if this is your use case.
问答
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