# data[].attributes.headline
Centennial history of autonomous vehicle（10min）

# data[].attributes.subject
Centennial history of autonomous vehicle（10min）

# data[].attributes.body
After watching the development history of autonomous vehicle over the past century, you must have a preliminary understanding of autonomous vehicle. What new functions do you think the next autonomous vehicle will achieve? Unleash your imagination and boldly imagine!

# data[].attributes.headline
Working principle of autonomous vehicle（20min）

# data[].attributes.subject
Working principle of autonomous vehicle（20min）

# data[].attributes.body
After visiting the nine key technologies of automatic driving, you must have a preliminary idea of the working principle of autonomous vehicle. So, can you try to combine these nine technologies to outline the working principle of autonomous vehicle in a paragraph? (Carefully consider the connections between these key technologies)

# data[].attributes.headline
Group discussion: Sensor Technology of autonomous vehicle（15min）

# data[].attributes.subject
Group discussion: Sensor Technology of autonomous vehicle（15min）

# data[].attributes.body
As we arranged before class, you have been divided into groups A, B, C, and D. The types of sensors you will be studying are as follows:

A: Lidar (Laser Radar)

B: Camera

C: Radar

D: Ultrasonic sensor

Please review the information and answer the following questions:

Q1: The working principle of this sensor

Q2: The main functions and applications of this sensor

Q3: Advantages and disadvantages of this type of sensor

Q4: Specific application cases of this kind in autonomous vehicle

Q5: How does this sensor perform at night?

Q6: If the sensor fails, what problems will autonomous vehicle face?

# data[].attributes.headline
Group discussion: Autonomous vehicle path planning（15min）

# data[].attributes.subject
Group discussion: Autonomous vehicle path planning（15min）

# data[].attributes.body
What road conditions need to be considered in path planning? How do these factors affect path selection? Please list at least three factors.

# data[].attributes.body
If you were asked to design a human-computer interaction system, what information and feedback do you think users need to receive from self-driving cars to ensure safety and user experience? Please explain why.

# data[].attributes.body
You can describe the appearance, functions, and usage scenarios of future cars, and then use the Leonardo platform's AI to turn your ideas into a cool picture! Whether it's a smart taxi or an adventure off-road vehicle, your imagination is the limit! Let's work together to design your own future car! 🚗✨

# data[].attributes.body
I designed a chubby, round self-driving bus that looks just like a giant loaf of bread! It has two big 'eyes' at the front (actually cameras), and they even blink and wave at pedestrians—so cute! The bus is covered in all kinds of emojis, and the wheels are tucked inside, making it look super cool. Inside, there are a bunch of kids sitting happily, and a robotic cat is peeking out of the window as their pet—how fun is that? This is my vision of the future bus.🚌😺✨

# data[].attributes.body
1. Super Smart Assistant: Future autonomous vehicles might act like your personal assistant! Not only can they drive, but they can also help you manage your schedule, remind you about homework, and even chat with you when you're bored!

# data[].attributes.body
Imagine cars that can change shape based on your needs! For example, they could turn into a tiny house for a picnic or transform into a boat for a beach trip—how cool is that?

# data[].attributes.body
1. Working Principle: Radar sends out radio waves and measures how long it takes for them to bounce back after hitting an object. This helps determine the object’s distance and speed.

2. Main Functions and Applications: Used for detecting objects, measuring speed, and assisting with adaptive cruise control.

3. Advantages and Disadvantages:

Advantages: Works well in all weather conditions, can detect objects at long distances, and is relatively affordable.

Disadvantages: Lower resolution compared to Lidar, struggles with small or non-metallic objects.

4. Application Cases: Used in adaptive cruise control systems and collision avoidance in cars like BMW and Audi.

5. Performance at Night: Works perfectly at night because it doesn’t rely on light.

6. If It Fails: The car might not detect other vehicles or obstacles, increasing the risk of collisions.

# data[].attributes.body
Normally, this car looks like a sleek, stylish sports car, but when it hits traffic, it can transform into a robot just like a Transformer! Its arms can lift other cars to help clear the way, the headlights turn into glowing eyes, and it even says, "Make way, humans!" The scene is set on a crowded road, and all the other drivers are completely stunned. It’s absolutely epic!

# data[].attributes.body
The car has an "animal radar" at the front. When it detects a cat on the road, it automatically turns into transparent mode, letting the little animal pass right through! The body of the car feels furry to the touch (but it’s actually made of nano-materials), and the roof is shaped like a bird’s nest, home to mechanical birds that sing to remind pedestrians to move aside. 🚗🐱🐦✨

# data[].attributes.body
The car’s body is semi-transparent, like rainbow bubblegum, and it changes color with the weather—pink on sunny days and light blue on rainy days! Instead of rearview mirrors, it uses tiny cameras on the body (like the spots on a ladybug). The wheels are glowing rings, and wherever it drives, it leaves behind a trail of light that fades away, like it’s painting the road!

# data[].attributes.body
Working Principle:

Cameras capture images and videos of the surroundings, which are then analyzed by software to identify objects, lanes, and traffic signs.

Main Functions and Applications:

Object recognition

Traffic sign reading

Lane marking detection

Advantages and Disadvantages:

Advantages:

Affordable

Provides detailed visual information

Capable of recognizing colors and shapes

Disadvantages:

Struggles in low light or bad weather

Can be fooled by shadows or reflections

Application Cases:

Used in Tesla’s Autopilot system for lane detection and traffic sign recognition.

Performance at Night:

Not great unless equipped with night vision or infrared technology.

If It Fails:

The car might miss critical visual cues like stop signs or pedestrians, potentially leading to dangerous situations.

# data[].attributes.body
Future cars might use solar power, wind energy, or even air to charge themselves, eliminating the need for gas. It’s both cost-effective and environmentally friendly!

# data[].attributes.body
Picture this: a sleek black self-driving sports car, covered in LED screens that can change color whenever you want! The back of the car releases a cool blue light mist (definitely not exhaust). The streets are filled with floating holographic road signs, and on top of the car, there’s a drone delivering packages. The whole scene is lit up by neon lights and the reflections of rain, making it look straight out of a Blade Runner movie!

# data[].attributes.body
1. Traffic Jams – If there’s a lot of traffic, the car might take a longer but faster route to avoid getting stuck.

2. Weather (like rain or snow) – Bad weather can make roads slippery, so the car might pick a safer, slower path.

# data[].attributes.body
Check out this awesome pure white self-driving car! Its body is super smooth, just like a pebble, and guess what—it doesn’t even have a steering wheel! The windows are made of smart glass that can turn into screens to show the route. On the roof, there’s a spinning LiDAR (it looks like a little mushroom), and the front of the car has glowing blue lines that make it look super cool! The whole scene is set in a futuristic city at night, with tall buildings covered in holographic ads.

# data[].attributes.body
Road Construction

When there’s construction, the car has to take a different route to skip delays or detours.

Road Type (Highways vs. Small Streets)

Highways are quicker, but smaller streets are better for specific places, like schools or houses. 🚗✨

# data[].attributes.body
This car doesn’t have a “front” or “back” because it’s surrounded by comfy sofas on all sides! The whole family sits together chatting, and there’s a table in the middle playing holographic poker. The walls of the car are transparent, so you can see the scenery outside. The dog presses its paws against the glass, and the AI voice asks, “Should we go to the park or the ice cream shop?”

# data[].attributes.body
我觉得未来的自动驾驶汽车 价格应该会逐步下降。要想做到真正的普及，就不能太贵，要让大家都买得起。

# data[].attributes.body
我想再补充一下我们组的观点。除了价格会更加亲民，未来的自动驾驶汽车还应该会新增很多相关的职业。比如可以在后台监管的人员，对无人驾驶的汽车进行远程管理。

# data[].attributes.body
用身上的“眼睛”（摄像头、雷达、激光雷达）看清楚周围的车、人和红绿灯；再用“大脑”（AI算法）思考往哪开最安全；接着用“耳朵”（V2X通信）听其他车和红绿灯发来的消息！

# data[].attributes.body
Self-driving cars are like super-smart "Transformer drivers"!

They are equipped with various high-tech "organs":

"Clairvoyance" (camera) + "Super hearing" (radar) to observe road conditions at any time

"The strongest brain" (AI chip) can think 1 million times in one second

"Spider sensing" (V2X) can "whisper" with traffic lights

# data[].attributes.body
We think we can use a racing game as an analogy:

“Game sensors” (cameras, radar, lidar) scan the road like a character scans for power-ups

“Multiplayer mode” (V2X) allows the car to “talk” to traffic lights and other vehicles

“Autopilot” (control system) perfectly controls steering/throttle/brakes – no joysticks needed!

# data[].attributes.body
An autonomous vehicle is like an AI driver with "superpowers" - it uses the "super senses" composed of laser radar, cameras and radar to perceive the environment 360 degrees. The "strongest brain" (AI chip) on board can complete road condition analysis, route planning and decision-making within 0.1 seconds, cooperate with 5G vehicle networking (V2X) to "secretly communicate" with traffic lights/other vehicles, and finally the wire control system executes each action as accurately as a professional racing driver. This "robot driver" who will never be distracted or tired is making the travel dream of "sleep on the bus and get off at the stop" a reality!

# data[].attributes.body
Traffic jam

➤ If the navigation shows that a road is red to purple, Lu Jin's routing decision will change the route in time

Trapped road section

➤ When encountering road repairs or car accidents, the routing decision will change the route in time to bypass the accident area

Extreme weather

➤ When it rains heavily, it will avoid low-altitude roads that are prone to waterlogging and choose safer main roads.

# data[].attributes.body
红绿灯的数量

遇到交通灯多的路线，就会绕开，选路口少的路快点到家

路边有没有学校

放学/上学时间遇到学校路段，就会像更改路线，选择不经过学校的路线

# data[].attributes.headline
Group 4                                                                                                                                                                                                                                                              

# data[].attributes.subject
Group 4                                                                                                                                                                                                                                                              

# data[].attributes.body
行程提醒，前方路况实时报告，汽车是否处于正常工作状态等等

# data[].attributes.body
Provide emergency plans in a timely manner when encountering an emergency;

Report the traffic conditions on the route ahead in real time;

# data[].attributes.body
Multiple route planning options

Extreme weather warnings

# data[].attributes.body
1. Reminder of the accident section ahead

2. AR real-time navigation

3. Multi-mode interaction

When you are in a hurry, say "hurry up mode" and the system will automatically choose the best route

When you want to go sightseeing, say "leisure mode" and the system will recommend a route with good scenery

Activate "Do Not Disturb Mode" at night to keep only necessary reminders