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Will SLAM + Cameras + HD maps BUT no LIDAR solve the problem for autonomous cars?
What you are probably referring to is not SLAM but just localization with HD Maps. That is now at a pretty good level of reliability in many of the projects out there. It depends on the quality of the maps of course, and the quality of the localization. However, LIDAR is still preferred. Those attemRead more
What are the main challenges , problems to be solved in computer vision field?
Currently the most important challenge faced by autonomous car in computer vision is how to run most of the algorithm in real time and that too in complex and cluttered environment. Making a vision model which can achieve high accuracy in no more a problem today because of deep learning but making iRead more
Will self-driving technology from Wayve revolutionize autonomous vehicles?
Liam Carter
The simple answer is “No, not at the moment” They claim that self-driving is possible with: No HD-Maps, No expensive sensor/compute suite, No hand-coded rules, Driving on roads never-seen during training. Replacing the entire self-driving pipeline with one end-to-end trained network seems to be impoRead more
Whats your opinion, should we use artificial intelligence to determine how self-driving cars behave in accidents?
AI has many sorts of issues at the moment, moreover its very hard to train AI to act in accidents better than humans (at the moment). And Its a very complicated task to simulate all the possible situations on the road and their outcomes to train the AI properly. I think autonomous cars should avoidRead more
How much does RTK cost?
some examples can be found here https://globalgpssystems.com/gps-receivers/rtk-gnss-receivers/
What is the difference between Model Predictive Control, Generalized Predictive Control and Long Range Predictive Control?
Generalized predictive control (GPC) is a member of the MPC family of methods, where the mathematical model of the system is a “controlled auto-regressive and integrated moving-average” (CARIMA) model. Long range predictive control (LRPC) seems (although I might be wrong since I am seeing this nameRead more
How many radars, LiDARs, cameras, etc. should a self-driving car have to provide the passengers safety?
The answer today is “As many as can be effective together, almost regardless of cost.” For the first few years of deployment of robocars, safety is paramount. Well, it’s always paramount, but in those early years, even more so, because it’s not about making money or slick design yet. It’s about makiRead more