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How will self-driving cars navigate in underground garages and other places that haven’t been mapped yet?
The answer: simultaneous localization and mapping, or SLAM. Using SLAM a robot (self-driving car) will use simultaneous localization and mapping to estimate its position and orientation (or pose) in space while creating a map of its environment. This allows the robot to identify where it is and howRead more
The answer: simultaneous localization and mapping, or SLAM.
Using SLAM a robot (self-driving car) will use simultaneous localization and mapping to estimate its position and orientation (or pose) in space while creating a map of its environment. This allows the robot to identify where it is and how to move through some unknown space.
A link to Dr. Lance Eliot intuition article
See lesshttps://www.aitrends.com/ai-insider/simultaneous-localization-mapping-slam-ai-self-driving-cars/
How much does RTK cost?
some examples can be found here https://globalgpssystems.com/gps-receivers/rtk-gnss-receivers/
some examples can be found here
See lesshttps://globalgpssystems.com/gps-receivers/rtk-gnss-receivers/
Who provides the detailed mapping data used by driverless vehicles?
Here is my list , some of the most known providers - 1. HERE https://www.here.com/platform/adas-had 2. NVIDIA HD MAPS https://www.nvidia.com/en-us/self-driving-cars/hd-mapping/ 3. TOMTOM https://www.tomtom.com/products/hd-map/ 4. Mapbox https://www.mapbox.com/ 5. DeepMap https://www.deepmap.ai/ 6. CRead more
Here is my list ,
some of the most known providers –
1. HERE
See lesshttps://www.here.com/platform/adas-had
2. NVIDIA HD MAPS
https://www.nvidia.com/en-us/self-driving-cars/hd-mapping/
3. TOMTOM
https://www.tomtom.com/products/hd-map/
4. Mapbox
https://www.mapbox.com/
5. DeepMap
https://www.deepmap.ai/
6. Civil Maps
https://civilmaps.com/
Will self-driving technology from Wayve revolutionize autonomous vehicles?
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
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 impossible at this moment, but their case successfully demonstrates the potential of computer vision and deep learning approach under some contitions.
Getting a robotic system to work in the field is a very complicated game, which may take years and years to achieve stable results in city and urban driving, under numerous conditions (day, night, rain, snow etc), in different countries with their own local laws and traffic/driving patterns.
Anyway they have built a very strong team of professionals and are doing very well so far, check some of their videos on urban driving:
See lessHave driverles vehicles ever been tested at high speeds?
HI, yes, there are several great examples, one of them is Roborace Roborace is the world’s first competition for human + machine teams, using both self-driving and manually-controlled cars, and they set the Guinness World Record for Fastest Autonomous Car https://www.youtube.com/watch?v=zuzaabZLVSo
HI, yes, there are several great examples, one of them is Roborace
See lessRoborace is the world’s first competition for human + machine teams, using both self-driving and manually-controlled cars,
and they set the Guinness World Record for Fastest Autonomous Car
What is the difference between RTK and PPK?
Basically, the main difference between the RTK and PPK is when this positional correcting takes place. RTK corrects during the flight, and PPK corrects after the flight. Both these technologies are very similar, however, PPK has a decisive advantage — because of its robustness and consistency.
Basically, the main difference between the RTK and PPK is when this positional correcting takes place. RTK corrects during the flight, and PPK corrects after the flight. Both these technologies are very similar, however, PPK has a decisive advantage — because of its robustness and consistency.
See lessWhat effect will autonomous vehicles have on traffic jams?
It's possible for driverless cars to greatly reduce traffic jams as they will affect them in multiple ways: Lane switching For routes that see assymetrical traffic flows at different times of the day, self-driving cars can choose how many lanes will go in each direction without a physical barrier beRead more
It’s possible for driverless cars to greatly reduce traffic jams as they will affect them in multiple ways:
Lane switching
For routes that see assymetrical traffic flows at different times of the day, self-driving cars can choose how many lanes will go in each direction without a physical barrier between the directions. This also accomodates unusual traffic flows, like for special events. Exclusive reduction.
Uncontrolled intersections. If cars communicate with each other and the infrastructure, then traffic lights can go away. Cars will adjust their speed and position to flow through intersections without stopping. Exclusive.
Accident reduction
Because self-driving cars don’t fail due to human error, they will eliminate a large portion of accidents. Proportional reduction.
Reduction of rubbernecking traffic jams. When passing an accident or even just an unusual sight, most drivers slow down to get a better look at it. Self-driving cars won’t do this. Network reduction.
Load balancing
Cars can check the traffic on all available routes and choose the path with the least traffic. This ensures that many roads will be used equally. This will reduce traffic on the worst routes. Immediate reduction for user, network reduction for everybody else.
Space reduction. Self-driving cars can potentially reduce the space between adjacent cars. This will allow greater density on the roads. Once all cars are self driving, the side-to side distance can be reduced as well. This works because intercar communications and sensors provide a much faster reaction time. Network/exclusive effect.
Damping of ghost slowdowns
See lessWhen one car brakes suddenly, cars further back will brake. Thic creates a wave that goes back and can reportedly last for hours. Self-driving cars that communicate with each other can account for this and damp the effect. Network reduction.
Hazard communication. Cars can communicate about up coming road hazards to cars behind them. This will allow cars to move over in time to avoid the hazard. Network reduction.