在这些环境中部署的系统将需要更主动地学习感知和解释社会线索，风险成为情

Systems deployed in these environments will need to learn to perceive and interpret social cues more actively, and the risk becomes situational awareness and understanding of driver’s intentions because they need to scale up to negotiate a large number of scenarios. In these areas, bad weather presents another challenge for autonomous vehicles, especially considering the generally poor road infrastructure and the need to better detect hazardous needs (such as potholes), especially where speed is required.

Systems deployed in these environments will require more proactive learning to perceive and interpret social cues, and risks become situational perception and understanding driver intent as they need to scale up to negotiate a large number of scenarios. In these areas, bad weather poses another challenge for self-driving cars, especially given the generally poor road infrastructure and the need for better detection of hazardous needs, such as potholes, especially where speed is needed.

Systems deployed in these environments will need to be more proactive in learning to perceive and interpret social cues, and risk becomes situational awareness and understanding driver intent as they need to scale up to negotiate a large number of scenarios. In these areas, bad weather poses another challenge to self driving vehicles, especially considering the general poor road infrastructure and the need to better detect dangerous demand (such as potholes), especially where speed is needed.<br>