Autonomous Vehicle Processors to Make Self-Driving Cars a Reality
A self-driving vehicle (also referred to as an autonomous vehicle or a driverless vehicle) is an automobile that travels between destinations without the assistance of a human driver using a mix of sensors, cameras, radar, and artificial intelligence (AI).
Autonomous Vehicles Becoming a Reality
The promise of self-driving cars is growing closer to becoming a reality. Industry specialists have been focusing on artificial intelligence (AI), machine learning, software, sensors, and processing units to administer the key controls and analyze data streams for self-driving vehicles, from advanced driver assistant systems (ADAS) via partial and complete autonomy. Furthermore, due to the exponential growth of ride-hailing services, the concept of autonomous vehicles is increasing at an accelerated rate.
Sensors are a crucial aspect of self-driving vehicles. Radars, lidars, cameras, and high-definition maps allow an autonomous vehicle (AV) to comprehend and perceive its environment while detecting things in its path. These sensors must perform three critical tasks: localization, detection, and tracking, all of which are accomplished by data fusion performed by processors at numerous levels.
Steps Taken by Corporate Giants
The competitive landscape of the global autonomous vehicle processor industry comprises various strategies utilized by key players in the e-mobility sector to gather momentum and market share. New product innovations, business expansions, mergers, partnerships, and collaborations are steps taken by autonomous vehicle processor companies.
Various semiconductor chip manufacturers and well-funded start-ups are developing autonomous car processors and not relying on others. Companies are concentrating on improving their processing kits to prepare for the arrival of new high-level autonomous vehicles on the market.
Intel Corporation (Mobileye), NVIDIA Corporation, and Tesla, Inc. are some of the industry’s prominent corporations. Companies like Tesla, Inc. have begun manufacturing their processing chips rather than relying on third parties. This consolidation effort has set an excellent precedent for the ecosystem’s other stakeholders.
Advantages and Growth Factors
As a result of fleet formation by connected vehicles utilizing the road network, the deployment of autonomous vehicles (AVs) reduces traffic density. Furthermore, autonomous technology allows these vehicles to park themselves, substantially decreasing traffic congestion.
Both AV original equipment manufacturer (OEMs) and hardware equipment manufacturers are hampered by the geographical infrastructure of highways around the world, as well as technical and safety issues about employing self-driving vehicles.
Simultaneously, the market is likely to be driven by the significant growth potential of these vehicles in commercial applications such as product delivery, taxi services (robotaxis), and mining activities in the subsequent years.
The growth of the autonomous vehicle market is equal to the growth of the automobile industry. The necessity for personal transportation, increased urbanization in developing nations, and rising middle-class disposable income have all significantly influenced the vehicle market to increase sales and growth in the autonomous vehicle category.
