Minus Zero is India's first startup building fully autonomous vehicles. They recently became the first company in India to test a fully driverless prototype live on unregulated Indian public roads. As the internet is evolving with the onset of web3, they are pioneering AV 3.0, closely innovating at an intuitive intersection of cognitive AI, autonomy & product engineering and, bringing a radical shift in how autonomous vehicle problem statement is perceived - by making the vehicle think exactly like we humans do, by making the best use of minimal data & compute and by making it more affordable, more robust & more comfortable.

There are several reasons why the implementation of self-driving vehicles in India is difficult:

Infrastructure: India has a relatively underdeveloped infrastructure compared to developed countries, which can make it challenging for self-driving vehicles to operate effectively. For example, inconsistent road markings, poorly maintained roads, and chaotic traffic conditions can make it difficult for autonomous vehicles to navigate safely.

Regulation: There is a lack of clear and comprehensive regulations for self-driving vehicles in India. This makes it challenging for companies to invest in the development and deployment of autonomous vehicles, as they are uncertain about the legal and regulatory environment they will face.

Cost: Self-driving technology is still relatively expensive, and this can make it difficult for consumers in India to adopt it, as the majority of the population is price-sensitive.

Technological barriers: The development of autonomous vehicles requires a complex interplay of different technologies, including sensors, cameras, LIDAR, and advanced algorithms. It can be challenging for companies to integrate all these technologies into a single system that is capable of functioning effectively in the challenging driving conditions found in India.

Lack of data: The development of autonomous vehicles requires large amounts of data to train machine learning models. In India, there is a lack of high-quality data, which can make it difficult for companies to develop effective self-driving systems.