Gather preliminary real-time data for automated driving technologies, traffic predictions, and incident detection.
Need:
Today, vehicle detection systems, such as video or detection cameras are extremely commonplace. They are meant to enhance driving safety, record instances of unsafe driving (such as speeding, or collisions), and manage general traffic congestion. Many populated roads and highways have digital recording systems in place. However, these systems are sometimes outdated and require heavy analysis and extensive time to measure vehicle speed or recall data. Often these systems over collect data, making it difficult to gather data from a specific instance.
Solution:
Cal Poly researchers developed a system and computer program to automate the task of data collection and data reduction for highway vehicle detection. The system involves velocity and motion detectors as well as a remote server to run the automated data analysis. The sensors are placed ahead of oncoming vehicles and take several motion images over the course of five seconds. The photos are then analyzed and velocity is determined using the pre-selected standard times. The data is then saved for future analysis/use. This system is especially useful for gathering preliminary real-time data for analysis, which can be applied towards automated driving technologies, traffic predictions, and incident detection.
Applications:
- Monitoring vehicle speeds on highways
- Recall highway traffic data
- Highway collision data
- Improve driving safety on highways
Advantages:
- Includes method, system, and computer program
- Automated system
- Can be adapted to include an automated data-reduction system
- Reduces data analysis time
- Reduces human oversight
IP Status:
US 8,179,282 issued May 15, 2012
Licensing Status:
Available - please contact us to discuss