Autonomous vehicles rely on a combination of AI, ML, and computer vision to perceive their surroundings, make decisions, and navigate safely.

Level 2 autonomous driving systems provide partial automation, allowing the driver to take over control whenever they want.

The impact of autonomous vehicles on traffic congestion is still uncertain and will depend on factors such as the adoption rate, infrastructure improvements, and government policies.

Autonomous vehicles typically use a combination of radar, lidar, and camera sensors to gather data about their surroundings.

Autonomous vehicles face challenges in operating safely in all weather conditions due to reduced visibility, slippery roads, and potential disruptions to communication and connectivity.

Autonomous vehicles are expected to improve road safety by reducing human errors, such as distracted driving, speeding, and impaired driving.

Autonomous vehicles face cybersecurity concerns related to hacking, unauthorized data access, and malware attacks, which could compromise the vehicle's safety and functionality.

V2V and V2I communication allows autonomous vehicles to exchange information about their location, speed, and trajectory, improving safety and traffic flow.

Autonomous vehicles could have a significant impact on the transportation industry, leading to changes in ownership patterns, increased demand for ride-sharing services, job losses in certain sectors, and potential disruptions to public transportation.

The successful deployment of autonomous vehicles requires a combination of public acceptance, supportive government regulations, and adequate infrastructure and connectivity.

Autonomous vehicles could lead to changes in urban planning and design, such as reduced need for parking spaces, increased demand for mixed-use developments, and more efficient use of public space.

Autonomous vehicles raise ethical concerns related to the trolley problem, privacy, job losses, and economic inequality, requiring careful consideration and ethical decision-making.

Autonomous vehicles are exploring various technologies, such as INS, dead reckoning, and LiDAR mapping, to enable navigation without relying solely on GPS signals.

Autonomous vehicles could have a significant impact on the automotive industry, leading to increased demand for electric and hybrid vehicles, disruption of traditional car ownership models, and potential job losses in the manufacturing sector.

Autonomous vehicles have the potential to improve accessibility and mobility for people with disabilities by providing transportation options, enabling greater independence, and reducing the need for specialized transportation services.