[HTML][HTML] Passenger occupancy estimation in vehicles: A review of current methods and research challenges
Passenger detection and occupancy estimation are vital tasks in many fields. The existing
literature emphasises that the increasing demand for such systems will continue to grow …
literature emphasises that the increasing demand for such systems will continue to grow …
[HTML][HTML] DriverMVT: In-cabin dataset for driver monitoring including video and vehicle telemetry information
Developing a driver monitoring system that can assess the driver's state is a prerequisite
and a key to improving the road safety. With the success of deep learning, such systems can …
and a key to improving the road safety. With the success of deep learning, such systems can …
Neuromorphic driver monitoring systems: A proof-of-concept for yawn detection and seatbelt state detection using an event camera
Driver monitoring systems (DMS) are a key component of vehicular safety and essential for
the transition from semi-autonomous to fully autonomous driving. Neuromorphic vision …
the transition from semi-autonomous to fully autonomous driving. Neuromorphic vision …
Automatic detection of vehicle occupancy and driver's seat belt status using deep learning
S Hosseini, A Fathi - Signal, Image and Video Processing, 2023 - Springer
Increasing the number of personal cars on the transportation routes causes a heavy traffic
load. In many countries, special lines for high occupancy vehicles have been developed to …
load. In many countries, special lines for high occupancy vehicles have been developed to …
[HTML][HTML] A Comprehensive Analysis of Real-Time Car Safety Belt Detection Using the YOLOv7 Algorithm
Using a safety belt is crucial for preventing severe injuries and fatalities during vehicle
accidents. In this paper, we propose a real-time vehicle occupant safety belt detection …
accidents. In this paper, we propose a real-time vehicle occupant safety belt detection …
[HTML][HTML] Seat belt detection using gated Bi-LSTM with part-to-whole attention on diagonally sampled patches
One of the high-risk behaviors leading to severe traffic injuries is not wearing a seat belt. It is
therefore very important to be able to automatically detect seat belts from surveillance …
therefore very important to be able to automatically detect seat belts from surveillance …
Intelligent traffic violation detection
R Ravish, S Rangaswamy… - 2021 2nd Global …, 2021 - ieeexplore.ieee.org
ITVD is a technique which uses Artificial Intelligence and deep learning concepts to detect
the vehicle violating the traffic rules. We observe that in the past few years there has been a …
the vehicle violating the traffic rules. We observe that in the past few years there has been a …
[HTML][HTML] Iot-based system for improving vehicular safety by continuous traffic violation monitoring
The violation traffic laws by driving at high speeds, the overloading of passengers, and the
unfastening of seatbelts are of high risk and can be fatal in the event of any accident …
unfastening of seatbelts are of high risk and can be fatal in the event of any accident …
Image-based seat belt fastness detection using deep learning
The detection of seat belts is an essential aspect of vehicle safety. It is crucial in providing
protection in the event of an accident. Seat belt detection devices are installed into many …
protection in the event of an accident. Seat belt detection devices are installed into many …
[HTML][HTML] DriverSVT: Smartphone-measured vehicle telemetry data for driver state identification
One of the key functions of driver monitoring systems is the evaluation of the driver's state,
which is a key factor in improving driving safety. Currently, such systems heavily rely on the …
which is a key factor in improving driving safety. Currently, such systems heavily rely on the …