Abstract
"Multimodal dataset for autonomous driving that combines camera frames with ultrasonic and radar sensor data to detect objects in blind spots."
Description
Reliable object detection is critical for self-driving cars. This dataset focuses on the Blind Spot Monitoring (BSM) system.
Data Inputs:
- Visual Data: High-def images of side/rear views.
- Ultrasonic Sensors: Proximity data for close-range detection.
- Radar/LiDAR: Distance and velocity measurements.
Scenarios:
Includes challenging conditions like rain, fog, and nighttime driving to test model robustness.
Source: Kaggle (Zoya77) - Research License.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on ExternalCite This Dataset
External (2026). Autonomous Vehicle Blind Spot Detection (Sensor Fusion). [Dataset]. External. https://www.kaggle.com/datasets/zoya77/smart-vehicle-blind-spot-detection-dataset
Source: External (2026)
Indexed by IoTDataset.com on Jan 07, 2026
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