BYD

Last updated February 1, 2026

720

Innovation Areas

34,443

Inventors

189

Collaborations

Kinematic path planning algorithms: BYDRecent Research Landscape

Unpredictable environmental obstacles increase collision risks and energy consumption in autonomous systems. These innovations utilize specific path-generation logic to ensure safe and efficient vehicle navigation.

What technical problems is BYD addressing in Kinematic path planning algorithms?

Inaccurate vehicle positioning during docking

(57)evidences

Manual or poorly automated parking leads to collision risks and time-consuming repositioning in tight spaces. Solving this reduces human error and improves spatial utilization in complex environments.

Unsafe reversing trajectory collisions

(46)evidences

Inaccurate spatial mapping and frame determination cause navigation failure. Precise localization ensures safe vehicle operation in dynamic environments.

Inaccurate parking boundary identification

(33)evidences

Ambiguous or misidentified parking space limits lead to collision risks and failed automated maneuvers. Precise boundary recognition ensures reliable vehicle positioning in complex environments.

Inaccurate vehicle lane positioning

(19)evidences

Ambiguity in lane positioning and state identification leads to unsafe autonomous maneuvers. Precise spatial awareness prevents navigation failures in complex road geometries.