Creating sensors that can accurately detect and interpret the surrounding environment.

Developing algorithms that can make safe and efficient decisions in real-time.

Overcoming the high cost of autonomous vehicle technology.

All of the above.

Autonomous vehicles can only operate in certain weather conditions.

Autonomous vehicles are more expensive than traditional vehicles.

Autonomous vehicles are not yet capable of handling all driving scenarios.

Autonomous vehicles are not yet legal in all jurisdictions.

Autonomous vehicles may not be able to react quickly enough to unexpected situations.

Autonomous vehicles may be hacked and remotely controlled.

Autonomous vehicles may be involved in accidents with other vehicles or pedestrians.

All of the above.

Autonomous vehicles could reduce traffic congestion.

Autonomous vehicles could improve safety by reducing human error.

Autonomous vehicles could make transportation more accessible for people with disabilities.

Autonomous vehicles could increase air pollution.

Developing clear and consistent regulations for autonomous vehicles.

Ensuring that autonomous vehicles are safe and reliable.

Addressing the ethical and legal implications of autonomous vehicles.

All of the above.

Autonomous vehicles could lead to job losses in the transportation sector.

Autonomous vehicles could increase social isolation.

Autonomous vehicles could make cities more livable.

Autonomous vehicles could reduce the need for car ownership.

Lack of infrastructure, such as high-speed internet and detailed maps.

Sparse population, making it difficult to collect enough data for training algorithms.

Greater distances between destinations, requiring longer battery life and more efficient routing.

All of the above.

Autonomous vehicles could provide greater mobility and independence.

Autonomous vehicles could make transportation more affordable.

Autonomous vehicles could reduce the need for specialized transportation services.

Autonomous vehicles could lead to job losses in the transportation sector.

Developing sensors that can accurately detect and interpret objects in low-visibility conditions.

Developing algorithms that can make safe and efficient decisions in unpredictable weather conditions.

Overcoming the high cost of autonomous vehicle technology.

All of the above.

Autonomous vehicles could reduce traffic congestion and pollution.

Autonomous vehicles could lead to increased energy consumption.

Autonomous vehicles could make it easier for people to live in car-free cities.

Autonomous vehicles could increase the demand for rare earth minerals.

Dealing with traffic congestion and unpredictable driving behavior.

Navigating through narrow streets and intersections.

Recognizing and responding to traffic signs and signals.

All of the above.

Autonomous vehicles could reduce transportation costs.

Autonomous vehicles could improve productivity by allowing employees to work while commuting.

Autonomous vehicles could lead to new business opportunities and services.

Autonomous vehicles could increase traffic congestion.

Dealing with unexpected events, such as road closures or accidents.

Navigating through construction zones and detours.

Recognizing and responding to hand signals from other drivers.

All of the above.

Autonomous vehicles could lead to job losses in the transportation sector.

Autonomous vehicles could boost economic growth by creating new jobs and industries.

Autonomous vehicles could reduce the cost of transportation.

Autonomous vehicles could increase traffic congestion.

Communicating with other vehicles and infrastructure.

Predicting the behavior of other road users.

Avoiding collisions with other vehicles and pedestrians.

All of the above.