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一位Twitter用户在使用Tesla的Full Self-Driving功能行驶了1000英里后分享了他们的积极体验,声称这是未来的趋势,并使传统驾驶显得过时。
This paper proposes an expanded formulation of valence and arousal in an active inference model of human driving, conditioning affective estimates on predicted future outcomes and evaluating it in interactive driving scenarios.
介绍了EVLA,这是一个通过实时感知电动动力总成状态来增强视觉-语言驾驶助手,从而实现能量最优和物理基础决策的框架。