Why Are Self-Driving Cars Taking So Long

The video discusses the current state and challenges of autonomous vehicles. It highlights the limitations of partial autonomy systems like Tesla's Autopilot and the complexities of general-purpose driving. The perception stage requires interpreting sensor data, while prediction and planning involve anticipating other drivers' actions. Solutions are being explored, but fully autonomous vehicles that can handle all scenarios are still a work in progress.

What is a key limitation of current partial autonomy systems like Tesla's Autopilot?

• They are fully capable of navigating any road.

• They are only used for long haul trucking.

• They require a human driver to take control in emergencies.

• They can drive without any human intervention.

Which sensor is described as a detailed 3D radar using lasers?

• LIDAR

• Ultrasonic sensor

• Camera

• Radio sensor

What was a significant factor in the 2016 Tesla crash?

• The car's sensors were not functioning.

• The car failed to detect a pedestrian.

• The autopilot cameras mistook the side of a truck for the sky.

• The car mistook a plastic bag for a solid object.

What is the 'freezing robot problem' in autonomous driving?

• When a car is unable to make decisions due to perceived risks.

• When a car is too assertive and causes accidents.

• When a car stops functioning due to a software error.

• When a car's sensors freeze and stop working.

How do programmers attempt to solve prediction and planning challenges in autonomous vehicles?

• By making the car ignore other vehicles.

• By avoiding complex scenarios altogether.

• By treating the car as just another vehicle in traffic.

• By using only one type of sensor for data.