AUTONOMOUS DRIVING TECHNOLOGY

MOUNISHA B.C
5th Sem BCA

Excessive dependence on autonomous vehicles (AVs) may exacerbate traffic congestion and increase exhaust emissions in the future. The diffusion of AVs may be significantly affected by the public’s acceptance. A few factors that may affect people’s acceptance of AVs  have been researched in the existing studies, one-third of which cited behavioural theories, while the rest did not. A total of seven factors with behaviour theories are screened out that significantly affect the acceptance intention, including perceived ease of use, attitude, social norm, trust, perceived usefulness, perceived risk, and compatibility. Public acceptance of the different types of AVs and consumer’s dynamic preferences for AVs are highlighted in the review too. The quality of literature is systematically assessed based on previously established instruments and tailored for the current review. The results of the assessment show potential opportunities for future research, such as the citation of behaviour theories and access to longitudinal data. Additionally, the experimental methods and the utilization of mathematical and theoretical methods could be optimized.

COMPONENTS:-

• Computer vision (how a car sees)
• Sensor fusion (how a car understand its environment)
• Localization (how a car knows it location)
• Path planning (how a car thinks about the most optimal route)
• Control (how a car steers the wheel)

ADVANTAGES:-

• Decreased the number of accidents
• Lessens traffic jams
• Stress free parking
• Time saving vehicle
• Accessibility to transportation

DISADVANTAGES:-

• Expensive
• Safety and security concerns
• Prone to hacking
• Fewer job opportunities for others
• Non-functional sensors