Google's Self-Driving Car is the most recent initiative that the search engine giant has been on pointe with. They announced the project for self-driving cars a little while ago, but it raised safety concerns for pedestrians. Of course, the innovators have now eliminated those concerns by creating a self-driving car that detects pedestrians and their body language.
Accidents happen quite often where innocent bystanders or cyclists are hit by vehicles that didn't see them. If Google's concept is installed, the car would notify the driver that there is a pedestrian or cyclist coming up or is in the car's vicinity; thus, the whole disaster could be prevented.
Google also unveiled in a new video that the front camera can recognize different city street obstacles like road signs, construction work and busy crossings. The most amazing concept: Google’s cars can read cyclist hand gestures, such as extending their arm to signal a lane change.
Pedestrian-Detecting Cars
Google's Self-Driving Car Has Been Advanced to Understand Hand Signals
Trend Themes
1. Pedestrian-detecting Cars - Pedestrian-detecting cars have been developed to detect pedestrians and their body language, offering potential for decreasing accidents and increasing safety.
2. Self-driving Technology - Self-driving technology, such as Google's initiative, has the potential to greatly improve road safety and decrease incidents of pedestrian accidents.
3. Object Recognition Technology - Object recognition technology, such as Google's front camera, can recognize different city street obstacles and offer insights for developing safer roads.
Industry Implications
1. Automotive - Automotive manufacturers could implement this pedestrian-detecting technology in their own vehicles to improve safety on the roads.
2. Technology - The technology industry can continue investing in and creating innovative technology like self-driving cars that prioritize safety and risk reduction.
3. Urban Planning - Urban planners and city governments can utilize technology like object recognition to improve street safety and reduce accidents.