While laser scanners are used in various autonomous vehicle technologies, they alone cannot drive a car. Laser scanners, also known as lidar sensors, provide precise distance and depth measurements by emitting laser pulses and analyzing the reflected light. They play a crucial role in creating detailed 3D maps of the environment, enabling self-driving cars to 'see' their surroundings accurately.

However, driving a car requires a combination of multiple technologies and sensors to perceive the environment, make decisions, and control the vehicle's movement. Laser scanners contribute to the overall perception system, but they work alongside other sensors like cameras, radar, ultrasonic sensors, and more. Advanced algorithms process and fuse data from these sensors to create a comprehensive understanding of the surroundings.

Additionally, driving a car involves complex decision-making, obstacle avoidance, route planning, and real-time reaction to changing road conditions. These tasks require sophisticated software and artificial intelligence algorithms that interpret sensor data, predict potential hazards, and generate control commands for the vehicle's steering, brakes, and acceleration.

In summary, while laser scanners are an essential part of autonomous vehicle perception systems, they are not sufficient on their own to drive a car. A holistic approach that combines lidar with other sensors, advanced software, and AI is necessary to enable self-driving capabilities.