About Humanising Autonomy

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.

```xml <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). </problem> <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. </solution> <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 </features> <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. </target_audience> ```

What does Humanising Autonomy do?

Where is Humanising Autonomy located?

Humanising Autonomy is based in London, United Kingdom.

When was Humanising Autonomy founded?

Humanising Autonomy was founded in 2017.

How much funding has Humanising Autonomy raised?

Humanising Autonomy has raised 19350000.

Location

London, United Kingdom

Founded

2017

Funding

19350000

Employees

24 employees

Major Investors

Silicon Valley Bank UK

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Humanising Autonomy

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Executive Summary

humanisingautonomy.com 7K+

Crunchbase

Founded 2017 – London, United Kingdom

Funding

Estimated Funding

$10M+

Major Investors

Silicon Valley Bank UK

Team (20+)

No team information available.

Company Description

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.

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

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.