A trajectory discrete coding and serialization generation method and system for a visual language automatic driving model
By converting autonomous driving trajectories into discrete codes using polar coordinate representation and non-uniform quantization, the problem of stable conversion of continuous trajectory point sequences is solved. The trajectory label sequence is output in the unified autoregressive sequence generation interface, realizing the stable generation and recovery of trajectory planning results of the visual language autonomous driving model.
CN122426271APending Publication Date: 2026-07-21SHENZHEN AUTOMOTIVE RES INST BEIJING INST OF TECH (SHENZHEN RES INST OF NAT ENG LAB FOR ELECTRIC VEHICLES) +1
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN AUTOMOTIVE RES INST BEIJING INST OF TECH (SHENZHEN RES INST OF NAT ENG LAB FOR ELECTRIC VEHICLES)
- Filing Date
- 2026-06-24
- Publication Date
- 2026-07-21
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Figure CN122426271A_ABST
Abstract
The present application relates to a kind of trajectory discrete coding and serialization generation method and system for visual language automatic driving model, belong to the field of automatic driving.The position increment between adjacent trajectory points is calculated, converted into distance component and angle component, and respectively performs compression and expansion mapping and non-uniform quantization, to obtain distance quantization interval identifier and angle quantization interval identifier, combined into discrete trajectory marker;Combined with vehicle motion state marker, form trajectory discrete coding sequence, output sequence containing structure marker and trajectory marker is output in unified autoregressive sequence generation interface by visual language automatic driving model;According to structure marker, trajectory answer section can be positioned and parsed to obtain trajectory marker subsequence, and the trajectory representation usable for downstream planning execution module is recovered by decoding.The present application considers trajectory representation accuracy, output form consistency and reversible recovery ability, and is suitable for the planning result generation and analysis of visual language automatic driving model.
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