自动驾驶实验室-混合轨迹融合算法高级工程师
Tencent
自动驾驶实验室-混合轨迹融合算法高级工程师
Job Description
自动驾驶实验室-混合轨迹融合算法高级工程师
📋 Job Overview
The role of Senior Engineer in Hybrid Trajectory Fusion Algorithm at Tencent's Autonomous Driving Lab involves developing and optimizing trajectory fusion modules that integrate learning-based and rule-based approaches for autonomous vehicles. Responsibilities include designing fusion strategies, building evaluation systems, and ensuring real-time performance through collaboration with other system modules. The position focuses on advancing safe, feasible, and high-performance driving trajectories.
📍 Location: Beijing, China
🏢 Business Unit: CSIG
📄 Full Description
2.设计并实现轨迹优化算法，对数据驱动的规划模块输出的轨迹进行优化；
3.构建规则式与学习式轨迹的融合策略，综合评估多维度指标输出最优驾驶轨迹；
4.构建轨迹多维度评价指标体系，包括安全性、碰撞风险、动态可行性等；
5.开发在线实时轨迹融合模块，确保输出稳定且高性能的最终驾驶轨迹；
6.与感知、定位、预测、规划等模块紧密协作，推动整体系统落地与优化；
7.撰写技术文档，参与模块部署与性能测试。
🎯 Key Responsibilities
- Implement the hybrid trajectory fusion module, optimizing learning-based trajectories and fusing them with rule-based trajectories
- Design and implement trajectory optimization algorithms to refine data-driven planning module outputs
- Build fusion strategies for rule-based and learning-based trajectories, comprehensively evaluating multi-dimensional indicators to output the optimal driving trajectory
- Construct a multi-dimensional trajectory evaluation indicator system, including safety, collision risk, dynamic feasibility, etc.
- Develop an online real-time trajectory fusion module to ensure stable and high-performance final driving trajectories
- Collaborate closely with perception, localization, prediction, and planning modules to promote overall system implementation and optimization
- Write technical documentation and participate in module deployment and performance testing
Locations
- Beijing, China
Salary
400,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Implement the hybrid trajectory fusion module, optimizing learning-based trajectories and fusing them with rule-based trajectories
- Design and implement trajectory optimization algorithms to refine data-driven planning module outputs
- Build fusion strategies for rule-based and learning-based trajectories, comprehensively evaluating multi-dimensional indicators to output the optimal driving trajectory
- Construct a multi-dimensional trajectory evaluation indicator system, including safety, collision risk, dynamic feasibility, etc.
- Develop an online real-time trajectory fusion module to ensure stable and high-performance final driving trajectories
- Collaborate closely with perception, localization, prediction, and planning modules to promote overall system implementation and optimization
- Write technical documentation and participate in module deployment and performance testing
Tags & Categories
Answer 10 quick questions to check your fit for 自动驾驶实验室-混合轨迹融合算法高级工程师 @ Tencent.
Related Books and Jobs
自动驾驶实验室-混合轨迹融合算法高级工程师
Tencent
自动驾驶实验室-混合轨迹融合算法高级工程师
Job Description
自动驾驶实验室-混合轨迹融合算法高级工程师
📋 Job Overview
The role of Senior Engineer in Hybrid Trajectory Fusion Algorithm at Tencent's Autonomous Driving Lab involves developing and optimizing trajectory fusion modules that integrate learning-based and rule-based approaches for autonomous vehicles. Responsibilities include designing fusion strategies, building evaluation systems, and ensuring real-time performance through collaboration with other system modules. The position focuses on advancing safe, feasible, and high-performance driving trajectories.
📍 Location: Beijing, China
🏢 Business Unit: CSIG
📄 Full Description
2.设计并实现轨迹优化算法，对数据驱动的规划模块输出的轨迹进行优化；
3.构建规则式与学习式轨迹的融合策略，综合评估多维度指标输出最优驾驶轨迹；
4.构建轨迹多维度评价指标体系，包括安全性、碰撞风险、动态可行性等；
5.开发在线实时轨迹融合模块，确保输出稳定且高性能的最终驾驶轨迹；
6.与感知、定位、预测、规划等模块紧密协作，推动整体系统落地与优化；
7.撰写技术文档，参与模块部署与性能测试。
🎯 Key Responsibilities
- Implement the hybrid trajectory fusion module, optimizing learning-based trajectories and fusing them with rule-based trajectories
- Design and implement trajectory optimization algorithms to refine data-driven planning module outputs
- Build fusion strategies for rule-based and learning-based trajectories, comprehensively evaluating multi-dimensional indicators to output the optimal driving trajectory
- Construct a multi-dimensional trajectory evaluation indicator system, including safety, collision risk, dynamic feasibility, etc.
- Develop an online real-time trajectory fusion module to ensure stable and high-performance final driving trajectories
- Collaborate closely with perception, localization, prediction, and planning modules to promote overall system implementation and optimization
- Write technical documentation and participate in module deployment and performance testing
Locations
- Beijing, China
Salary
400,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Implement the hybrid trajectory fusion module, optimizing learning-based trajectories and fusing them with rule-based trajectories
- Design and implement trajectory optimization algorithms to refine data-driven planning module outputs
- Build fusion strategies for rule-based and learning-based trajectories, comprehensively evaluating multi-dimensional indicators to output the optimal driving trajectory
- Construct a multi-dimensional trajectory evaluation indicator system, including safety, collision risk, dynamic feasibility, etc.
- Develop an online real-time trajectory fusion module to ensure stable and high-performance final driving trajectories
- Collaborate closely with perception, localization, prediction, and planning modules to promote overall system implementation and optimization
- Write technical documentation and participate in module deployment and performance testing
Tags & Categories
Answer 10 quick questions to check your fit for 自动驾驶实验室-混合轨迹融合算法高级工程师 @ Tencent.
Related Books and Jobs