Aumovio India is developing a single-camera advanced driver assistance system aimed at making Level 2 assisted driving more affordable for mass-market vehicles. The solution uses a camera-only architecture instead of multiple cameras and radar sensors, with the goal of reducing system costs while maintaining performance. The company said the system has undergone extensive validation on Indian roads and is designed to identify complex road situations, including pedestrians, protruding cargo and oncoming vehicles in dense traffic conditions.

The development is part of Aumovio’s strategy following its separation from Continental in 2025. The company is positioning India as a global engineering and innovation hub, focusing on faster development cycles and cost-efficient product development. According to Aumovio, increased agility and streamlined decision-making are helping accelerate the development of technologies for software-defined vehicles.

Aumovio is also using AI to improve engineering productivity. The company has developed AI-based tools for requirements engineering and brake system development, enabling faster validation and calibration processes. In electronic brake development, AI-driven simulation tools have reportedly reduced development timelines by about 50% by minimizing dependence on physical prototypes and testing, according to the company.

In addition, Aumovio's Automated Parking Assist (APA) system has entered production and was introduced in the Tata Harrier electric vehicle. The system supports parallel, perpendicular and angular parking, along with remote parking functions. Developed in India, the solution is designed to handle parking environments where road markings may be inconsistent.

The company continues to expand its role in automotive electronics, focusing on vehicle safety, user experience, body electronics and automated driving technologies. India has become a key engineering center for Aumovio, contributing to research and development, embedded software, systems integration, and autonomous driving technologies.

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