Autonomous driving paper index
T22
One-line summary
The TX22 dataset investigates real-time prediction and management of trust-based decisions during simulated semi-automated driving in a leader-follower paradigm.
Engineering notes
Key topics: autonomous driving, autonomous vehicle, prediction. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
The TX22 dataset investigates real-time prediction and management of trust-based decisions during simulated semi-automated driving in a leader-follower paradigm. This neuroimaging study examines how operators' trust in autonomous vehicle systems can be predicted and influenced through targeted feedback interventions, with the goal of resolving discrepancies between perceived trust and actual system trustworthiness to optimize joint human-automation performance.
Links and sources
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