端到端规控算法科学家

• 研发面向自动驾驶的端到端规划与控制算法，重点包括从传感器输入直接进行轨迹规划、运动控制与驾驶策略学习。

• 设计并优化集成感知、预测、规控模块的端到端一体化框架，实现实时车辆决策。

• 开发适用于复杂城市场景的轨迹优化、路径生成与控制策略，包括路口、拥堵及动态环境。

• 与感知、预测团队协作，构建下一代端到端自动驾驶系统，确保模块间无缝衔接。

• 与全球博世团队合作，进行端到端规控研究的技术转移、趋势追踪与方案评估。

Research and develop end-to-end planning and control algorithms for autonomous driving, focusing on trajectory planning, motion control, and driving policy learning directly from sensor inputs.

Design and optimize integrated E2E frameworks that unify perception, prediction, and planning/control modules for real-time vehicle decision-making.

Develop trajectory optimization, path generation, and control strategies for complex urban scenarios, including intersections, congestion, and dynamic environments.

Collaborate with perception and prediction teams to build state-of-the-art E2E autonomous driving systems and ensure seamless module integration.

Work with global Bosch units on technology transfer, trend scouting, and concept evaluation for E2E planning and control research.