SpringCloud develops various solutions and core products based on
L4/L5 section autonomous driving full-stack software.
SpringCloud OperaKIT is a drive-by-wire hardware platform based on electric vehicles providing LiDAR, camera, GNSS sensors, and embedded controller to implement autonomous driving features in purpose built vehicle (PBV) such as recognition, determination, and control. Leveraging OperaKIT, SpringCloud supports users to create mobility vehicles based on their service requirements and apply autonomous driving algorithms.
Classification | Specification |
---|---|
Length | 2,510mm |
Width | 1,700mm |
Curb weight | 450kg |
Maximum load | 500kg |
Frame material | High-strength steel |
Operating speed | 20 Km/h (up to 40 Km/h, SW adjustable) |
Maximum range | 70 km (fully charged) |
Battery | 11 kW (slow charging) |
Driving method | 2WD/4WD, in-wheel hub motor |
Braking method | 4WD hydraulic brake |
The OperaKIT-based PBV can transport small cargo of less than 500 kg, which is configured to be able to transport in indoor and outdoor environments integrating autonomous driving software leveraging camera, LiDAR, and GPS sensors.
Classification | Specification |
---|---|
Length | 3,380mm |
Width | 1,700mm |
Curb weight | 550kg |
Maximum load | 500kg |
Operating speed | 20Km/h (up to 40Km/h, SW adjustable) |
Maximum range | 70 km (fully charged) |
Battery | 11 kW (slow charging) |
Driving method | 2WD/4WD, in-wheel hub motor |
Braking method | 4WD hydraulic brake |
SpringCloud modified the MPV, Staria, to enable autonomous driving and configure them as an autonomous driving delivery platform.
SpringCloud provides vehicles enabled with autonomous driving shuttle services.
· Vehicle dimensions :
4,755 x 2,100 x 2,640
· Passenger capacity : Up to 15 (11 seats + 4 standing places)
· Maximum speed : 25Km/h
· Continuous operation : 9 hours
· Battery capacity: 43kWh
· Vehicle dimensions :
4,050 x 1,892 x 2,871
· Passenger capacity : Up to 15 (8 seats + 7 standing places)
· Maximum speed : 20Km/h
· Continuous operation : 10 hours
· Battery capacity : 30.72kWh
· Vehicle dimensions :
4,130 x 2,000 x 2,600
· Passenger capacity: Up to 8
· Maximum speed : 20Km/h
· Continuous operation : 4 hours/8 hours
· Battery capacity : 16kWh/42kWh
· Vehicle dimensions :
4,430 x 1,925 x 2,750
· Passenger capacity : Up to 8
· Maximum speed : 20Km/h
· Continuous operation : 8 hours
· Battery capacity : 42kWh
SpringCloud provides the fastest and the most price-competitive solutions by establishing cloud-based service environments that perform open-sourced–baced integrated recognition and control for all connected mobilities.
Opera is SpringCloud’s full stack autonomous driving and mobility solution that can implement an autonomous driving system of Level 3 or higher, comprised of an external environment recognition system, determination and control system for vehicles. Opera is structured flexibly to be implemented for any autonomous driving mobility, and SpringCloud is validating the solution in various sectors using various mobility vehicles.
LiDAR Point Cloud-based classification and recognition of nearby objects (vehicle, persons, motorcycles) after removing noises such as snowflakes and raindrops
Opera Positioning recognizes lanes, traffic lights, and objects (vehicles, people, motorcycles, and obstacles) en route based on AI from camera images.
The autonomous driving system must ensure the safety of everyone involved and be operable on the real road. Real-road testing of an autonomous driving vehicle is not sufficient for satisfactory validation of operating environments and other emergencies. OperaSIM provides a virtualization validation platform that allows repeated tests in virtual simulated environments for various scenarios that cannot be verified in real road test. OperaSIM enables developers to test the systems if they work in complex city driving conditions as intended and ensure safety by changing parameters in a virtual environment.
TASIO is an integrated platform that allows integrated monitoring of all operating mobility vehicles on the road, in the sky, and on the water. SpringCloud is configuring different mobility and delivery services including calling autonomous driving shuttles, effective mobility management, demand-responsive service, and autonomous delivery into one platform and expanding the features by deploying the latest technologies.
Integrated control is used to provide real-time control for vehicles. Vehicle condition and operation status can be confirmed in real-time through integrated control in control rooms.
This passengers’ calling app supports the autonomous driving vehicle boarding procedures of passengers including payments. The app provides an on-schedule feature to allow users to board on time.
Kiosks are used to verify the role of stations, and the location of vehicles and confirm the estimated time of arrival. Broadly infra solutions can be integrated- or mobile-type, and installation arrangements may differ in different locations.
Sensor and driving data vital for validating learning and simulation of the autonomous driving system are generated at a rate of 5TB per hour, and it is impossible to collect, transmit or store all data from the autonomous driving operation or testing environment in real-time. SpringCloud Smart Data System uses event triggers to collect the most relevant database on specified conditions to allow real-time transmission and allow easy storage and management in the smallest storage space possible.
SpringCloud creates an ecosystem to facilitate the faster establishment of service-based autonomous driving solutions by providing an autonomous driving total tool kit for different Koreans and international corporations and service providers related mobility. The ecosystem will become the foundation for scaling up the SpringCloud business model.