Abstract
The goal of this research is the development of a driver assistant feature, which can warn the driver in case a pedestrian is in a potential risk due to sudden intention to cross the road. The process of crossing pedestrian is defined as the changing of pedestrian orientation on the curb toward the road. We built a Convolutional Neural Network (CNN) model combined with depth sensing camera to estimate the pedestrian orientation and distance from the vehicle. The model detects the higher human body keypoints in 2D space while the depth info make it possible to translate the points into a 3D space. These info are tracked per pedestrian and any change in the pedestrian moving pattern toward the road is translated to a warning for the driver. The CNN model is end-end trained using different datasets presenting pedestrian in different configurations and scenes.
Highlights
One of the main tasks for assistive and autonomous driving systems is to assure traffic safety for drivers and pedestrians by reducing the human error leading to crashes with other vehicles, road infrastructure and pedestrians
BODY LANDMARKS ESTIMATION PERFORMANCE The Convolutional Neural Network (CNN) model is trained using 80% of the examples in the labeled dataset previously prepared for this task, the other %20 is left for validation
Despite the huge efforts done by government and vehicles manufactures to increase vehicles safety U.S pedestrian fatalities have increased in the last few years
Summary
One of the main tasks for assistive and autonomous driving systems is to assure traffic safety for drivers and pedestrians by reducing the human error leading to crashes with other vehicles, road infrastructure and pedestrians. Pedestrian injuries in traffic accidents have high lethality due to the vulnerability of the pedestrians. According to Governors Highway Safety Association (GHSA) preliminary report for 2019 [1], 6590 pedestrian were killed in motor vehicle accidents, with an increase of almost 300 deaths from the reported number in 2018. Governments spared no effort to make roads a safer place to use. Tech companies and researchers are trying very hard to make vehicles safer for both pedestrians and drivers by using advanced technologies helping the driver to avoid crashes and even if happened to reduce the impact of it
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.