Google Driverless Car Case Study

1262 Words6 Pages
1.1 Background
Supermarkets are everywhere nowadays. Most consumers use shopping carts to hold their products that desired to buy while they are navigating through a supermarket. That seems to bring convenience to customers.
In fact, most shopping carts are controlled by human power. Someone may have experience of being hit by other cart(s) or accidently drive the cart and hit others or obstacles like selves. Also, it is inconvenience to keep pushing a cart when selecting products.

Our design is to have auto-following cart that can follow the individuals while they are walking around in supermarket. With the use of auto-following cart, consumers gain more freedom in selecting products and can be hand-free while shopping. Disabled people are especially
…show more content…
The Velodyne 64-beam laser, which is a laser device mounted on the roof of the car, generates a detailed 3D maps with high resolution. Combining with date received from radar, different types of date model are produced to find a car’s location and position of obstacles so that the car can self-drive to an assigned destination without crashing into anything [3] .

The advantage of Google’s driverless car is that it can drive itself over a long distance or even a complicated route. Generation of 3D maps with high resolution ensures the safety of the self-driving. Its safety could be enhanced by recognizing the obstacles and pedestrians and avoid crushing with them.
However, the cost of purchasing of its laser and radar are extremely high. As our auto-following cart is in small size, large size components like laser and radar are unnecessary as they add loads to the cart. It means larger force is needed for a cart to start or stop moving. Also, there is no need to have such large data base in our cart.
1.2.3 X9

More about Google Driverless Car Case Study

Open Document