Turn Signal Prediction Dataset
Description
This dataset was created to support research on turn signal detection and prediction using accessible, low-cost hardware. It contains multimodal driving data collected with a Samsung Galaxy A50 smartphone (inertial sensors: accelerometer and gyroscope) and a dashboard camera recording the road at 1080p and 60 FPS. The recording session covers approximately 20 minutes of urban driving, resulting in a 2.43 GB video file and a sensor log with 92,778 entries (9.22 MB). Each sensor entry includes timestamped acceleration and angular velocity data on three axes, together with a Boolean indicator of turn signal use. All data have been synchronized with the corresponding video frames to allow multimodal analysis of vehicle motion and driver behavior.
Files
Institutions
- Universidad de Oviedo