ADAS

Bitsensing launches Retrofit ADAS kit to boost safety for commercial fleets

Press Release, 6 February 2026

South Korean technology firm Bitsensing has introduced a new aftermarket Advanced Driver Assistance Systems (ADAS) kit designed to bring advanced safety features to existing buses, trucks and other commercial vehicles that were not originally built with such systems. The affordable retrofit solution pairs radar and cameras to deliver real-time warnings for drivers, helping them better handle blind spots, potential collisions and other hazards often encountered on busy roads.

The ADAS kit combines multiple safety technologies such as blind spot information, rear collision alerts, forward collision warnings and moving-off notifications into a single package that fleet operators can install without major modifications to the vehicles. Its straightforward installation and scalable design make it suitable for large fleets looking to upgrade older vehicles quickly and cost-effectively. These systems are especially valuable for commercial fleets, where larger blind spots, longer braking distances and frequent interactions with other road users can make driving riskier.

Unlike traditional factory-installed ADAS that come with new vehicles, this kit is targeted at existing trucks and buses, offering a practical way to enhance safety without the expense of buying new models. It supports international safety regulations like the United Nations Economic Commission for Europe’s blind spot and moving-off standards, helping ensure that vehicles equipped with the system meet globally recognised benchmarks.

Bitsensing has already begun real-world testing in South Korea through a pilot with Koreawide Express Group, installing the kit on hundreds of city and intercity buses. Early deployments in urban environments aim to validate performance and help inform future scale-ups. By enabling fleet managers to improve driver awareness and react faster to dangerous situations, the ADAS kit could make a meaningful difference in reducing accidents and enhancing road safety where older commercial vehicles remain common.

Compiled using AI

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