智能驾驶
利用AI、传感器和嵌入式系统使车辆具备环境感知与自主控制能力的技术领域，是嵌入式与AI结合的核心应用方向之一
Timeline (last 90 days)
Perception and decision-making for intelligent driving usually refers to a vehicle building an environment model through sensor fusion, after which algorithms perform object detection, trajectory prediction, and driving decisions.
The introduction of end-to-end large models in recent years has moved perception and planning from modular pipelines to a unified network, but it also brings new challenges for interpretability and safety validation.
Chinese companies such as BYD, along with technology firms working on intelligent driving systems, are competing in a market where software, sensors, vehicle hardware and manufacturing increasingly intersect.
Intelligent driving relies on in-vehicle embedded platforms to complete the closed loop of perception, decision-making, and control.
All Facts (4)
Perception and decision-making for intelligent driving usually refers to a vehicle building an environment model through sensor fusion, after which algorithms perform object detection, trajectory prediction, and driving decisions.
50%UnverifiedThe introduction of end-to-end large models in recent years has moved perception and planning from modular pipelines to a unified network, but it also brings new challenges for interpretability and safety validation.
50%UnverifiedChinese companies such as BYD, along with technology firms working on intelligent driving systems, are competing in a market where software, sensors, vehicle hardware and manufacturing increasingly intersect.
50%UnverifiedIntelligent driving relies on in-vehicle embedded platforms to complete the closed loop of perception, decision-making, and control.
50%