RoboBUS
Overview
RoboBUS is tailor-made for urban public transportation scenarios, cater to short-distance urban travel experiences through driverless technology and human-centered design. Powered by Jingwei Hirain's independently developed multi-sensor fusion perception system, RoboBUS achieves precise recognition and safe decision-making in complex road conditions, navigating flexibly in various urban environments to provide an intelligent, efficient solution for addressing mobility challenges.

Key Product Features/Technologies
- The passenger cabin adopts a low-entry structure with a flat floor, enabling easy one-step boarding and alighting.
- Equipped with an interactive large screen, it provides real-time display and announcement of vehicle operation status and stop information.
- The steer-by-wire system utilizes a pure electric recirculating ball design, ensuring rapid, precise response and high reliability.
- For brake-by-wire, a multi-redundancy solution combining EHB+ESC+EPB is employed, where both ESC and EPB can serve as safety backups for service braking. ESC guarantees driving, braking, and steering stability across various road conditions.
- The full drive-by-wire chassis configuration, managed by a chassis domain controller, supports precise chassis control under local, intelligent driving, and remote driving modes.
- The vehicle features hierarchical fault management to ensure overall vehicle and passenger safety.
Vehicle Parameters


Key Features / Technologies of the Intelligent Driving System
- Highly reliable hardware: Uses high-performance automotive-grade embedded controllers designed for harsh real-vehicle operating conditions, ensuring stable, reliable high-performance computing. It also adopts an automotive-grade sensor solution to high safety.
- All-scenario environmental perception: The perception stack uses multi-sensor fusion, including LiDAR, cameras, and 4D millimeter-wave radar, providing 360° redundant coverage to ensure safety. Built on a BEV + Transformer large-model perception architecture, it delivers strong and stable perception performance, is more robust to short-term occlusion/noise, and enables all-weather operation (rain/snow/fog/night).
- High-precision localization: High-precision positioning is the foundation of autonomous driving. By fusing multiple positioning methods with multi-sensor data, accurate localization for RoboBUS can be achieved. Combined with SLAM-based localization, it addresses GNSS outages or drift caused by signal blockage and multipath reflections in areas such as under dense trees, under highway interchanges, and beneath overpasses/pedestrian bridges, providing high-precision positioning information for RoboBUS within the target area.
- Planning and control: Based on the perception system’s accurate recognition of other traffic participants (trucks, passenger vehicles, VRUs) and traffic infrastructure (traffic lights, lane markings, guardrails, crosswalks, etc.), the PNC algorithms predict target trajectories, assess safety risks in advance, safely navigate mixed-traffic intersections, and help prevent traffic accidents.
- Redundant safety: Provides component-level redundancy—including sensor, controller, and actuator redundancy—and, together with remote driving and backend dispatching, achieves system-level safety redundancy to ensure operational safety comprehensively.
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