LiDAR stands for Light Detection and Ranging. It uses laser light pulses to measure distances by timing how long it takes for the light to bounce back from objects. This helps create a detailed 3D map of the surroundings.
Radar uses radio waves to detect objects and measure their distance and speed. It works well in poor weather conditions like fog or rain, helping vehicles sense other cars and obstacles.
Cameras capture visual images and videos of the environment. They help recognize colors, shapes, traffic signs, and lane markings, providing detailed information for decision-making.
Each sensor type has strengths and weaknesses. Combining them gives a more complete and reliable view of the environment, improving safety and accuracy in detecting obstacles and road conditions.
Challenges include sensor cost, data processing needs, weather effects on sensors, and ensuring sensors work well together. Overcoming these helps electric vehicles navigate safely and efficiently.
LiDAR uses laser light pulses to measure distances and build 3D maps.
Radar uses radio waves to detect objects and measure their speed and distance.
Cameras capture visual details like colors and signs, which other sensors cannot.
Sensor fusion combines data from multiple sensors to improve accuracy and reliability.
Heavy rain or fog can scatter laser light, reducing LiDAR effectiveness.