Passive Monitoring of Dangerous Driving Behaviors Using mmWave Radar
Imagine a world where technology quietly watches over drivers, ensuring every journey is safer. mmDrive does just that—using invisible waves to detect risky behaviors like nodding off or texting, all without invading privacy. It’s like having a silent co-pilot dedicated to protecting lives.
Key Features
- Privacy-preserving: mmDrive uses radar-based sensing instead of cameras, ensuring no visual data is captured, thus maintaining driver privacy while effectively identifying risky behaviors.
- Unobtrusive Monitoring: Unlike wearable devices, mmDrive operates passively without requiring drivers to wear or interact with any hardware, making it a seamless addition to vehicles.
- Comprehensive Detection: The system is capable of identifying a wide range of dangerous behaviors, such as yawning, steering anomalies, using a phone, and more, ensuring holistic monitoring of driver attentiveness.
- Robust Noise Filtering: Integrated IMU sensors effectively filter out noise caused by road conditions like bumps and potholes, ensuring accurate detection in diverse driving scenarios.
- Energy Efficiency: mmDrive employs a two-step classification approach, activating detailed behavior analysis only when risky driving is detected, conserving computational resources.
- Real-world Validated: Tested across 7 drivers, 5 different car models, and multiple road conditions, mmDrive demonstrated consistent and reliable performance with a precision of 97%.
Licensing:The platform source and the collected dataset is free to download and can be used with GNU Affero General Public License for non-commercial purposes. All participants signed forms consenting to the collected mmwave dataset and activity labels for non-commercial research purposes. The institute’s ethical review committee has approved the field study (Order No: IIT/SRIC/DEAN/2023, Dated July 31, 2023).
Contributors
Argha Sen
IIT Kharagpur, India
Anirban Das
IIT Kharagpur, India
Prasenjit Karmakar
IIT Kharagpur, India
Sandip Chakraborty
IIT Kharagpur, India
Teaser Video
Publications
- Argha Sen, Avijit Mandal, Prasenjit Karmakar, Anirban Das, and Sandip Chakraborty: "Passive Monitoring of Dangerous Driving Behaviors Using mmWave Radar", PMC Journal, Volume 103, October 2024
- Argha Sen, Avijit Mandal, Prasenjit Karmakar, Anirban Das, and Sandip Chakraborty: "mmdrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving", IEEE PerCom 2023