Seoul Robotics develops Lidar perception software for autonomous vehicle marshaling and parking, enabling efficient first-mile logistics. Their infrastructure-based solution enhances the operational capabilities of self-driving cars and robots, addressing the challenges of vehicle coordination in complex environments.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous vehicles face challenges in navigating complex, unstructured environments such as parking lots, ports, and vehicle distribution centers, particularly in the "first mile" of logistics. Relying solely on onboard sensors can be insufficient for precise maneuvering and coordination in these dynamic settings.
Solution
Seoul Robotics offers an infrastructure-based autonomous driving solution, LV5 CTRL TWR, designed to enhance vehicle marshaling and parking in first-mile logistics. By deploying lidar perception software within the environment, the system provides a comprehensive and reliable understanding of vehicle positions and movements. This approach enables efficient coordination of autonomous vehicles, improving safety and throughput in challenging operational domains. The solution facilitates autonomous vehicle operation by providing an external perception layer that complements onboard sensors.
Target Audience
The primary target audience includes automotive manufacturers, logistics providers, and port operators seeking to automate vehicle marshaling, parking, and first-mile logistics operations.
Features
- Infrastructure-based lidar perception system for autonomous vehicle guidance
- Real-time vehicle tracking and positioning within defined operational areas
- Software platform for managing and coordinating autonomous vehicle movements
- Enhanced perception capabilities in complex and unstructured environments
- Integration with autonomous vehicle control systems for seamless operation