The future of the electric vehicle industry led by autonomous driving technology and NASDAQ autonomous driving stock recommendations
Autonomous driving is an innovative technology that allows vehicles to recognize their driving environment, steer, accelerate, and brake without human intervention, and travel to their destination. Key technologies that enable this include artificial intelligence, sensors, map data, and computational processing systems, which are continually evolving.
Autonomous driving technology is expected to bring about innovative changes in various industries, with the greatest impact on the automotive industry and transportation infrastructure. In addition, this technology can reduce urban traffic congestion, decrease traffic accidents, improve fuel efficiency, and even contribute to addressing climate change issues.
Autonomous driving technology is also expected to bring about significant changes in everyday life, allowing all people, including the elderly, people with disabilities, and children, to enjoy the freedom of mobility. Furthermore, this technology will enable people to use their time more efficiently inside vehicles, thereby improving the quality of daily life.
Table of Contents
What is autonomous driving?
Autonomous driving is a technology that allows vehicles to recognize their driving environment, navigate, and control steering, acceleration, and braking operations without human intervention, enabling them to reach their destination. This technology has become possible through advancements in various sensors, artificial intelligence algorithms, map data, and computational processing systems. Autonomous driving technology is divided into several stages, with the ultimate goal of developing fully autonomous vehicles.
Autonomous driving technology consists of the following major components:
- Sensors: Autonomous vehicles use various sensors to perceive their surrounding environment. These sensors include LiDAR, radar, cameras, and ultrasonic sensors, which allow the vehicle to recognize the position, speed, and distance of nearby vehicles, pedestrians, bicycles, and more.
- Artificial intelligence algorithms: Autonomous vehicles use artificial intelligence algorithms to process data collected from sensors, plan driving routes, and make decisions on steering, acceleration, and braking. AI algorithms optimize vehicle driving by utilizing technologies such as deep learning, computer vision, and robotics.
- Map data: Autonomous vehicles use high-resolution map data to plan accurate driving routes. This data is linked to the vehicle’s GPS to determine its precise location and provides information on road structures, traffic signals, speed limits, and more.
- Computational processing systems: Autonomous vehicles require powerful computational processing systems to process sensor data and execute AI algorithms. This system is implemented as an onboard computer, enabling real-time processing of sensor data and fast decision-making.
Autonomous driving technology is expected to bring about innovative changes in various industries, with the most significant impact on the automotive industry and transportation infrastructure. The advancement of this technology can reduce urban traffic congestion, decrease traffic accidents, improve fuel efficiency, and contribute to addressing climate change issues.
Autonomous vehicles are expected to provide significant assistance to people who have difficulty moving, such as the elderly, disabled, and children. By offering them freedom of mobility, the quality of their daily lives can be improved. Additionally, autonomous driving technology is expected to enable people to use their time more efficiently inside vehicles, enhancing the quality of everyday life.
Reasons for Recommending Autonomous Driving Stocks and Outlook
One of the reasons for recommending autonomous driving-related stocks is the expectation that this technology will revolutionize the future transportation paradigm. Autonomous driving technology is expected to create significant social value in various aspects, such as reducing traffic accidents, alleviating traffic congestion, improving fuel efficiency, and protecting the environment.
Moreover, autonomous driving technology is anticipated to bring innovation across various industries, with several sectors, including the automotive industry, semiconductor industry, and IT companies, expected to benefit from this technology. As a result, the growth potential and investment value of related companies are expected to increase.
Regarding the future outlook, research and development investment in autonomous driving technology is increasing worldwide, and competition among countries is accelerating. This is expected to lead to continuous technological advancements and increased expectations for commercialization. Also, the introduction and popularization of autonomous driving technology are expected to have a positive impact on various industries, which in turn, will likely benefit the stock prices of related companies.
For these reasons, as a stock investment expert, I recommend autonomous driving stocks as attractive investment opportunities for investors seeking future growth prospects.
Autonomous Driving Stock Recommend
Tesla (TSLA): Tesla is an electric vehicle manufacturer that is heavily investing in autonomous driving technology. Tesla’s autonomous driving feature, ‘Autopilot,’ is continually being improved and is already recognized as one of the most advanced technologies in the market. This technological prowess is expected to have a positive impact on Tesla’s stock price in the future when fully autonomous driving becomes a reality.
NVIDIA (NVDA): NVIDIA is a company that develops GPU and AI-related technologies. Autonomous vehicles must process data collected in real-time from sensors, cameras, and radars, requiring high-performance computing technology. NVIDIA is expected to grow in this market by providing semiconductor and AI solutions for the autonomous driving industry.
Alphabet (GOOGL): Alphabet is the parent company of Google, which owns Waymo, a subsidiary at the forefront of autonomous driving technology development. Waymo has already demonstrated its technology by operating a pilot autonomous taxi service in the United States. Alphabet is expected to play a leading role in the autonomous driving market through Waymo.
Mobileye (MBLY): Mobileye is a company that develops autonomous driving technology and camera-based sensor systems for vehicles and was acquired by Intel in 2017. Mobileye’s camera-based sensors and vision processing technology play a crucial role in the autonomous driving industry, collaborating with various automakers to increase its market share. Mobileye has excellent technological capabilities as a leader in the automotive sensor market, and it has many growth opportunities as autonomous driving technology becomes more widespread.
In addition to these companies, as autonomous driving technology becomes commercialized, the market for adding autonomous driving features to existing vehicles is expected to expand. Therefore, aftermarket-related companies (e.g., Aptiv, APTV) are also expected to thrive along with this. One such company, Aptiv, provides autonomous driving-related products and services, such as vehicle sensors, software, and system integration. Companies like this are expected to increase their profitability by offering products and solutions needed to upgrade existing vehicles along with the growth of the autonomous driving market. Aftermarket-related companies can seize growth opportunities as the demand for various vehicle parts and software increases during the process of autonomous driving technology becoming more widespread.
Autonomous Driving Investment Risks
One of the current limitations of autonomous driving technology is its technical maturity. There are still several challenges to achieving perfect autonomous driving, particularly ensuring safety in challenging weather conditions or complex road situations. Additionally, the legal and regulatory environment in different countries can constrain the commercialization of autonomous driving technology, and solutions for this have not yet been fully established. Furthermore, there are difficulties in societal acceptance and widespread adoption, with building consumer trust and addressing concerns about safety being crucial challenges.
In terms of the risks associated with stock investments, autonomous driving-related companies need continuous research and development and innovation to maintain their lead in the highly competitive market, and the costs incurred from this may affect the profitability of the company. Also, investment values may change due to regulatory changes or sudden shifts in market conditions, and stock price fluctuations can be expected depending on the performance and market dominance of individual companies. Therefore, it is important to construct a diverse portfolio taking risks into account when investing in stocks, and it is recommended to make investment decisions by consistently checking the latest information and seeking the help of experts.
