Autonomous Vehicle Safety: Pedestrian Detection in the Spotlight
Source: Autonomous Vehicle Safety
Intellias has released a report on how technology can enhance pedestrian detection to ensure autonomous vehicle safety within populated urban environments.
With urbanization on the rise, cities are experiencing increased car traffic alongside an increasing number of car accidents. Most crashes occur due to human error, but technology is coming to address this issue. Despite growing public skepticism of relinquishing control over cars, tech companies like Intellias have collaborated with automotive industry leaders to equip vehicles with cutting-edge pedestrian detection software to identify people who are unseen by the driver.
A recent Intellias whitepaper shares latest solutions in developing pedestrian safety systems for self-driving vehicles. In the whitepaper you will find:
An overview of pedestrian safety with different levels of autonomous driving
An overview of existing use cases of AI-powered self-driving cars
Descriptions of the tools and methods behind pedestrian detection systems, including sensors used and methods of real-time data acquisition and image processing
Explanations of AI/ML-enabled technology for object detection, the YOLOv3 (You Only Look Once v3) algorithm, and the Kalman filter, among others
Examples of Intellias expertise building trustworthy pedestrian detection software and relevant R&D projects with neural recognition
Get your copy of the Autonomous Vehicle Safety whitepaper and keep your finger on the pulse of the latest autonomous driving trends.