Autonomous Driving Simulation Solutions
Real road scenarios for testing, training and validation of AD/ADAS algorithms
Autonomous Driving Simulation Solutions
Real road scenarios
ADSS is startup that creates scenarios based on video data from road surveillance cameras.
Our advantages are natural scenarios with data segmentation and huge scenarios flow from hundreds and thousands cameras around the world.
Natural scenarios with huge data flow
Data segmentation for even coverage of all the road test cases
Scenarios recording by road surveillance cameras
Trajectory based reproduction
Based on real time CCTV cameras placed on the roads and high loaded road nodes, we track all the cars and restore the position of each car in land coordinate system.
As the next step, we convert the collected data into the set of scenarios with possibility to assign the ego-car to the place of any car on the road
Scenarios segmentation and analysis
AI analysis of all the recorded data to make segmentation, grouping and providing only necessary information for AD/ADAS algorithms testing.
Conversion into OpenScenario and others customer specific formats
A simulation scenario is a data type that describes the trajectories of all traffic participants in a given simulated traffic situation.
Traffic
participants: cars, trucks, buses, trams, motorcycles, cyclists, pedestrians, animals
Also scenario includes:
- Layout of the road and lanes
- Type and quality of the road surface
- Order of traffic lights
- Location of road signs and temporary signs
Scenario description standards: ASAM:
- OpenDRIVE
- OpenSCENARIO
- OpenCRG
Artificial intelligence for data segmentation
Solution For AD/ADAS developers
Benefits
Huge set of scenarios
Real recorded natural road scenarios, created on many different road intersections
Scenarios segmentation
AI methods for scenarios segmentation to cover all possible road situations
OpenScenario / OpenDrive
Supporting of standards of scenario description