Segmification: Solving road segmentation and scene classification tasks for self-driving cars using one neural network

Engineering notes

Key topics: self-driving car, self-driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

In this work we show our developed model for a self-driving car that solves a road segmentation task and at the same time classifies whether the vehicle is moving in or off the lane. We demonstrate how scene classifier can be efficiently embedded into a segmentation neural network model by the means of branching additional layers with small number of trainable parameters. The model was trained and tested on our own dataset with good accuracy performance. Experiment with external dataset proves efficiency of the proposed approach and shows reasonable results in both segmenation and classification tasks.

Links and sources

• Official / arXiv page

Comments