LiDAR + camera fusion
3D bounding boxes and segmentation across paired sensor streams.
00Transportation
The data that trains autonomous fleets for Asian roads.
Dense urban streetscapes, mixed vehicle populations, local signage. The edge cases that break datasets trained in other regions. We annotate them at scale.
Autonomous stacks trained on North American or European data fail on Asian roads. The scooter density, the lane-discipline variance, the signage. Closing that gap is a data problem, not a model problem.
02Capabilities
What we ship for Transportation
Behavior + intent labelling
Scooter intent, pedestrian crossing behavior, vehicle lane-change prediction.
Scenario mining
Edge-case extraction from fleet data: cut-ins, occlusions, weather anomalies.
Fleet-vision operational CV
Driver attention, cabin monitoring, cargo-state detection.
Proof for Transportation
StradVisionRead the Transportation case study →
50M+labelled driving frames deliveredIMDA-accredited · AI Verify · PDPA-ready