Why Haven't Anyone Invented an Add-On for Regular Cars to Make Them Self-Driving?

The concept of a self-driving car is both enchanting and practical, but the commercialization of such a technology presents a myriad of challenges. The focus on developing an add-on that could transform regular cars into autonomous vehicles seems like a compelling idea, but there are numerous reasons why this has not been achieved yet.

No Self-Driving Cars Exist in the Real World

1. Lack of Reality in Media: While the tech press and some parts of the media might be quick to promote the idea of self-driving cars as a reality, the truth is quite different. Currently, no self-driving cars exist in the real world beyond prototypes and early-stage testing.

According to AImotive, the process of converting regular cars into fully autonomous vehicles is far from simple. In their analysis, self-driving cars are described as 'inexpensive to convert' but are, in fact, incredibly complex and expensive systems that require significant investment in various components such as sensors, software, and hardware.

The Complexity and Cost of Self-Driving Technology

2. Technical Complexity: Unlike simple aftermarket modifications, self-driving technology is not just an additional feature but a full system. It includes not only the sensors and software but also the intricate controls for steering and braking, as well as components for safety and lighting. Such a system is fundamentally different from what most consumers would consider an 'add-on'.

The inherent complexity of self-driving technology means that it would be prohibitively expensive for consumers to retrofit their existing vehicles with this capability. Even if such an add-on were to become available, the cost would likely exceed the value of the vehicle itself, making it an impractical proposition.

The Business Perspective

3. Economic Viability: The concept of a self-driving car add-on is appealing from a business perspective, but the market realities of current technology and economics make it less feasible. Several startups have attempted to offer driverless car solutions, but as noted, by the time such technology is truly ready for widespread use, these companies might have already run out of funding.

Even if an add-on were developed, the cost to produce and install it would need to be justified by the benefits it offers. According to market analysis, the cost of creating and validating the autonomy technology required for self-driving cars would be substantial, and this expense cannot be offset by relatively low-cost add-ons.

Ensuring Readiness Before Embracing Add-Ons

4. Following the Prototype Path: A more sensible approach would be to first perfect the fully self-driving car. This would set an industry standard and provide a practical model that could then be replicated. As a result, any add-on technology developed would be based on a proven and reliable system, making it more likely to be adopted by consumers.

According to industry experts, the focus on developing a self-driving car from scratch is essential. It provides a concrete example of the sensors, servos, actuators, feedback circuits, control computers, and interface adapters necessary for self-driving technology. By perfecting the entire system, the industry can then work on smaller, more affordable add-ons that improve upon the existing technology.

In conclusion, the challenge of converting a regular car into a self-driving car is not just about the technology but also about the cost and practicality. Until the technology is more mature and cost-effective, the concept of a self-driving car add-on remains a distant dream. The focus should be on advancing the capabilities of fully autonomous vehicles before considering smaller-scale solutions.

References:

AImotive. (2022). The Future of Autonomous Driving.