In recent years, with the advent of the intelligence era, all kinds of technologies have been introduced, and many of them are artificial intelligence-based technologies combined with extensive data analysis and decision-making. Traditional automobiles have also reached a milestone in transforming into driverless cars. To understand consumers' intentions to adopt driverless cars, this study collected data from potential users with driving experience through physical and online questionnaires, with a valid sample size of 457. The four dimensions derived from the technology acceptance model (TAM), including “perceived usefulness,” “perceived ease of use,” “attitude toward driverless cars,” and “acceptance intention of driverless cars,” were combined with trust to examine their casual effects toward driverless cars. The results show that consumers' evaluation of driverless cars depends on whether or not the functional features of the vehicle can satisfy their practical needs, which means that consumers' attitude toward the vehicle's practicality can influence their acceptance or even their intentions to adopt the driverless cars. In addition, trust in the product is a significant factor affecting consumers' decision to choose a driverless car. Therefore, automobile manufacturers still need to design vehicle functions from the consumers' standpoints to meet their needs and achieve achievement.