Autonomous Vehicle Blind Spot Detection (Sensor Fusion)
Catalog Summary
"Multimodal dataset for autonomous driving that combines camera frames with ultrasonic and radar sensor data to detect objects in blind spots."
Catalog Notes
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.
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Preview on ExternalCite This Catalog Record
IoTDataset.com (2026). Autonomous Vehicle Blind Spot Detection (Sensor Fusion) — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/autonomous-vehicle-blind-spot-sensors
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Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 07, 2026
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