Lidar vs Radar: How self-driving cars perceive roads

Self-driving cars have been in the news for over a decade, with traditional car manufacturers and technology companies investing heavily in developing this technology. The concept of Connected, Autonomous, Shared, Electric (CASE) reflects the disruptions in the auto industry globally.

The evolution of the auto industry is driven by technologies like connected vehicles, autonomous driving, shared mobility, and electric mobility. Self-driving or autonomous driving technology is a major disruptor, enabling vehicles to operate with varying levels of human intervention. This technology creates a map of the vehicle’s surroundings, allowing it to navigate without complete manual control.

Self-driving vehicles use a combination of sensors, radars, cameras, and processors with machine-learning capabilities. These technologies work together to map the vehicle’s environment, helping it navigate safely to its destination. Radar devices provide visual distance perception for safe driving behavior, while Lidar sensors measure distance and identify road features. High-definition cameras capture surroundings and assist in navigation and recognition of traffic signs.

Radar devices, Lidar sensors, and high-definition cameras are crucial technologies used by self-driving cars. Radars help determine distance for safe driving, Lidar sensors detect road edges and lane markings, and cameras capture surroundings to create a map for navigation. These technologies work together to ensure safe and reliable driving behavior.