Humanising Autonomy develops predictive AI models through its HDAS SDK, which translates human behavior into real-time road safety alerts for drivers and vulnerable road users. This technology reduces false alerts, enhances driver confidence, and improves overall road safety, ultimately decreasing the risk of collisions and saving resources.
Funding
$19.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SVFounders
Product
Problem
Existing road safety systems often generate excessive false alerts, leading to driver distrust and reduced effectiveness in preventing collisions. These systems frequently lack the nuanced understanding of human behavior necessary to accurately predict and respond to potential hazards involving vulnerable road users (VRUs).
Solution
Humanising Autonomy offers an AI-powered perception software development kit (SDK) that interprets human behavior to provide real-time road safety alerts. The HDAS SDK analyzes pedestrian, cyclist, and other VRU actions, predicting potential risks and delivering targeted warnings to drivers. By incorporating behavioral context, the system minimizes false positives, increases driver confidence, and enhances overall road safety. This technology enables proactive collision avoidance, protecting both drivers and VRUs while optimizing resource allocation for road safety initiatives.
Target Audience
The primary target audience includes automotive manufacturers, Tier 1 suppliers, and transportation technology companies seeking to enhance road safety and improve the performance of their ADAS and autonomous driving systems.
Features
- Real-time analysis of human behavior patterns to predict potential road safety risks
- Advanced perception algorithms that accurately identify and classify vulnerable road users (VRUs)
- Integration with existing ADAS (Advanced Driver-Assistance Systems) and autonomous driving platforms
- Customizable alert thresholds and warning strategies to suit specific driving environments
- SDK optimized for low-latency performance on embedded hardware
- Triple-layered ethical AI framework ensuring fairness, transparency, and accountability