Questions tagged [autonomous-vehicles]

For questions related AI used to automate vehicles, including the autonomous vehicles capabilities of automated piloting and air traffic control for aircraft and orbital and interplanetary vehicles, automated driving of road vehicles, and other types of vehicle automation requiring intelligent acquisition and control systems.

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26 views

How do automatic high-beam headlights work on cars?

Modern cars can operate high-beam headlights automatically: They automatically switch from high-beam headlights to low-beam ones (less intense) when you enter a town or there is a car in front of you ...
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20 views

How Tesla and other companies use outputs from neural networks to drive the car?

Here is the short description of Tesla Autopilot AI: https://www.tesla.com/autopilotAI And here are some videos about how Tesla uses neural networks: Andrej Karpathy - AI for Full-Self Driving at ...
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How to remember previously detected objects in computer vision?

Let's say I have a drone that has to fly (and scan) over some area (blue on the images - in this case a PV power plant, but it could be anything) in an autonomous way like in the pic below: Let's ...
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What are the typical sizes of practical/commercial artificial neural networks?

I'm interested in artificial neural networks (ANN) and I wonder how big ANNs in practical use are, for example, Tesla Autopilot, Google Translate, and others. The only thing I found about Tesla is ...
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Recommended vehicle trajectory prediction algorithms (based only on lat/lon data)?

Could you recommend me the most suitable algorithms for vehicle trajectory prediction? Although I'm studying kalman filter approaches and they are the most used, are there other common (NN, SVM, RF, ...
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Which is the best algorithm to predict the trajectory of a vehicle using lat/lon data?

I'm using Kalman Filter approaches and I've just implemented the extended Kalman filter (EKF) with my object 2D trajectory. However, I have a mess of alternative approaches that may fit better like ...
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18 views

Drawing verticle lines on video frames in vehicle detection

I am working on an application of vehicle detection, the purpose is to check if road is congested or not. The solution that came to my mind is to detect the vehicles moving in each direction ...
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19 views

Algorithms for training a two motor powered rc car without steering servo

Previously, I have build a donkey car where the steering of the two front wheels was done using a motor servo. This project was a success and the car was able to drive autonomously after training was ...
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1answer
136 views

What is the difference between object tracking and trajectory prediction?

In autonomous driving, we know that the behaviour prediction module is concerned with understanding how the agents in the environment will behave. Similarly, in the perception module, the tracking ...
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25 views

How do self-driving cars perform lane changes?

I am a bit stuck trying to understand how a lane change is performed from an operational point of view. Let's assume a self-driving car uses an occupancy grid map for local planning, this map may even ...
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71 views

How many parameters does the AI of a typical self driving car have?

I can find the number of parameters AIs such as GPT3 or OpenAI Five have, but I'm having a difficult time googling the number of parameters a self driving car has because Google searches keeps using ...
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Are there references for real-time 3D shape measurement using convolutional neural network?

I want to develop a real-time 3D shape measurement using convolutional neural network (CNN) for vehicle. Could you recommend me references for that? Thanks.
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Why can't DQN be used for self-driving cars?

Why can't DQN be used for self-driving cars? Why can't DQN and similar RL algorithms be used for self-driving cars? The reason why I am curious is that it successfully plays go and other multistate ...
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63 views

What kinds of techniques do autopilots of autonomous cars use?

What kinds of techniques do autopilots of autonomous cars (e.g. the ones of Tesla) use? Do they use reinforcement learning? Which types of neural network architecture do they use?
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48 views

How can I avoid displaying the velocity in the updated tracklets?

In target tracking, the dimensions of objects change, especially if they are detected using a LIDAR sensor. Also, the static objects in consecutive frames are not 100% static, their position changes a ...
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1answer
76 views

How can I combine the readings of multiple lidars into 1 point cloud? [closed]

I have a car with 8 lidars, each with a field of view of 60 degrees. My car looks like this: How can I merge all the lidar readings into 1 point cloud?
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Can I use self-driving car's data set for left-hand drive cars which drive on the right lane for right-hand cars which drive on the left lane?

Can I use self-driving car's data set for left-hand drive cars which drive on the right lane for right-hand self-driving cars which drive on the left lane?
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128 views

Are self-driving cars using single frame or multiple frame to make decision?

This might be a trivial question but I couldn't find any reliable answers on the internet. Almost all the neural network architectures for self-driving cars that I have seen on the internet have a ...
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41 views

Next step after lane detection in vehicle automation

I have an RC car with a camera, I have implemented so that i can detect lanes on my track (think like a nascar track). I want to get this car to be able to go around the track autonomous. But I am ...
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36 views

identifying pattern in datasets

i am new to machine learning. i'm trying to identify driving pattern through accelerometer and gyroscope sensor. i have been collecting the data of both the sensors and have been storing them in .csv ...
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1answer
176 views

How do self-driving cars construct paths?

I wonder how self-driving cars determine the path to follow. Yes, there's GPS, but GPS can have hiccups and a precision larger than expected. Suppose the car is supposed to turn right at an ...
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22 views

To what level of abstraction must fully automated vehicles build their driving model before safety can be maximized?

There are several levels of abstraction involved in piloting and driving. Signals representing the state of the vehicle and its environment originating from multiple transducers1 Latched sample ...
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122 views

What are the legal advantages of autonomous vehicles? [closed]

Many people know the most common advantages of autonomous (not autopilot-controlled) cars, such as safety, efficiency, or parking. But what are the legal advantages of autonomous vehicles? Normally, ...
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Good papers for implementing as project of computer vision course

I'm a student of Artificial Intelligence. This semester I've Computer Vision course. We should select a topic related to intelligent vehicles and read several papers and implement one of those paper. ...
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1answer
703 views

Creating a self learning Mario Kart game AI?

I will be undertaking a project over the next year to create a self learning AI to play a racing game, currently the game will be Mario Kart 64. I have a few questions which will hopefully help me ...
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1answer
48 views

SEIF motion update algorithm doubt

I want to implement Sparse Extended information slam. There is four step to implement it. The algorithm is available in Probabilistic Robotics Book at page 310, Table 12.3. In this algorithm line no:...
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113 views

What are applications of object/human tracking in autonomous cars?

Objects tracking is finding the trajectory of each object in consecutive frames. Human tracking is a subset of object tracking which just considers humans. I've seen many papers that divide tracking ...
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1answer
227 views

Self-driving control logic based on semantic segmentation

In the context of autonomous driving, two main stages are typically implemented: an image processing stage and a control stage. The first aims at extracting useful information from the acquired image ...
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776 views

Do self-driving cars resort to randomness to make decisions?

I recently heard someone make a statement that when you're designing a self-driving car, you're not building a car but really a computerized driver, so you're trying to model a human mind -- at least ...
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1answer
113 views

What topologies support recognition of action sequences?

The ability to recognize an object with particular identifying features from single or multiple camera shoots with the temporal dimension digitized as frames has been shown. The proof is that the ...
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2answers
241 views

What functionality, does control look like in autonomous vehicles levels 4 and 5?

We are doing a research design project on autonomous vehicles and have some questions on AV Levels 4/5; specifically on the roles, impacts and consequences of AV on society, government, users and ...
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77 views

How long has it taken for autonomous driving cars to be being sold and used on the roads today?

I remember the first time hearing about google trying to make driverless cars. That was YEARS ago! These days, I'm beginning to learn about Neural Nets and other types of ML and I was wondering: ...
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239 views

How is PDDL used in production AI systems?

I can't find much information on modern PDDL usage. Are there more popular alternatives, maybe something more suited to modern neural network/deep learning techniques? I'm particularly interested in ...
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63 views

Will commercialisation and widespread use of A.I in security and surveillance and other household products threaten free will or endanger privacy?

Everything from facial recognition to the google home is coming equiped with A.I and it is being widely used , If autonomously connected to the internet , will A.I pose a threat to privacy or will it ...
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263 views

Semantic Segmentation how to upsampling

Many of the architectures that do semantic segmentation like SegNet, DilatedNet (Yu and Koltun), DeepLab, etc. do not work on high resolution images. For such benchmarks like Cityscapes, what is a ...
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3answers
140 views

Could the deployment of self-driving cars make rides free?

As self-driving technology is improving, there are so many companies developing self-driving cars like Google, Uber, etc. Is it possible that we won't need any private/paid self-driving cars and the "...
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2answers
163 views

‪Can a multi-camera system be used for localization, mapping, and obstacle detection in self-driving cars to within 10 cm of accuracy? Whither lidar?‬

I have a liberal arts background so I need help understanding this paper, particularly pages 26 to 30. The authors test a four-camera system for localization, mapping, and obstacle detection for self-...
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4answers
188 views

How will morality questions be settled in the domain of self-driving cars? [duplicate]

How will morality questions be settled in the domain of self-driving cars? For example If a dog is crossing the road, I'd expect the car to try to avoid it. But what if this leads to .00001% more ...
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1answer
1k views

What is an appropriate fitness function for a simulated self-driving car?

I have been working for ages on a neuro-evolution AI program, where cars learn how to race around a track. Presently, I have a rudimentary fitness function that awards points for every degree ...
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0answers
47 views

Loss of precision when encoding DNN weights

This question is related to the usage of NN in critical systems (those where a failure can cause life threatening situations - autopilots for example) and the need for formal guarantees on their ...
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1answer
149 views

What are the ethical and legal issues of self driving cars being released in the UK?

What are the ethical and legal issues of self driving cars being released in the UK? This question came up on our exam today and I was left in a daze. I initially thought it would be issues like the ...
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2answers
175 views

Why is it illegal for Google's autonomous car to drive on the road by itself?

If we have well designed autonomous AI vehicles, then why won't the USA government allow it to be witnessed in the public?
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1answer
267 views

What will happen when you place a fake speedsign on a highway?

I was wondering what will happen when somebody places a fake speedsign, of 10 miles per hour on a high way. Will a autonomous car slow down? Is this a current issue of autonomous cars?
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2answers
272 views

Why do self-driving cars use a radar?

The slideshow 10 astonishing technologies that power google’s self-driving cars documents some of the technologies used in Google's self-driving car. It mentions a radar. Why does Google use radar? ...
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8answers
1k views

What are the advantages of having self-driving cars?

What are the advantages of having self-driving cars? We will be able to have more cars in the traffic at the same time, but won't it also make more people choose to use the cars, so both the traffic ...
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5answers
2k views

Why are autonomous cars categorized as AI?

How are autonomous cars related to artificial intelligence? I would presume that artificial intelligence is when we are able to copy the human state of mind and perform tasks in the same way. But isn'...
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3answers
211 views

What kind of road and weather conditions can a self-driving car deal with?

Can self-driving cars deal with snow, heavy rain, or other weather conditions like these? Can they deal with unusual events, such as ducks on the road?
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1answer
155 views

What technologies are needed for a self-driving car?

Google, Tesla or Apple have all built or are building their own self-driving cars. As an expert in a related area, I am interested in knowing at a high level, the systems and techniques that go into ...
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1answer
129 views

Once self-driving cars are perfected, will they replace manually driven cars? [closed]

After self-driving cars are perfected to the degree that accident statistics are lower for them than human driven cars, will they replace cars with human drivers? Will there eventually only be self-...
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1answer
766 views

Would Google's self-driving-car stop when it sees somebody with a T-shirt with a stop sign printed on it?

In Hidden Obstacles for Google’s Self-Driving Cars article we can read that: Google’s cars can detect and respond to stop signs that aren’t on its map, a feature that was introduced to deal with ...