![]() ![]() The vehicle was equipped with Baidu’s fourth-gen autonomous driving kit. In 2019, Baidu partnered with FAW Hongqi to develop China’s first preinstalled L4 autonomous driving vehicles known as Hongqi EV. It marked a milestone as Apollo began developing computing platforms and installed LiDARs, cameras, and millimeter-wave radars. In 2017, Apollo designed and deployed the third-gen autonomous driving kit on a large scale. The new-gen kit, which featured better component integration and water-resistance, could be equipped on multiple vehicle models like Chery eQ, BYD Qin, and BAIC EU260. This laid a great foundation and was beneficial in creating the second-gen autonomous driving kit in 2015, which included multi-fusion sensors and better designs. This vehicle was named “Xiao Hong” (little red). When Baidu began autonomous driving research and development in 2013, Baidu engineers rolled up their sleeves and assembled the first prototype autonomous vehicle equipped with LiDAR and GPS devices from scratch. With each new generation of Apollo vehicles, the cost has decreased by half, while performance increases tenfold. Other Baidu World 2020 announcements included Apollo’s fifth-generation autonomous driving kit and the first pre-installed and mass-produced vehicles that meet the requirements for fully automated operations. Apollo 6.0 also open sources the new development toolkit, D-KIT, equipped with onboarding units to lower the V2X development threshold. The new V2X software can integrate object-level perception information from roadside and vehicles. Submit the job in Dreamland V2X capabilitiesĪpollo’s vehicle-to-everything technology (V2X) underwent a major upgrade since its first release in Apollo 3.5. Most importantly, Apollo 6.0 connects different cloud services so that developers can handle complicated tasks on the cloud. PointPillars-based obstacle detection model training serviceĬomplete control parameter auto-tune service ![]() Low-speed obstacle prediction model training service with semantic map support Second, Apollo 6.0 adds multiple new services, including: In Apollo 6.0, we have tailored services to the needs of developers with several improvements.įirst, we integrate the data pipeline with the simulation platform so developers can seamlessly access different services within the same interface. The data pipeline services released in Apollo 5.0 have been well-received by developers. Major dependent libraries such as PCL TensorTR, PyTorch, and others, have also been fully upgraded. The system now supports C++14, upgrades from Python 2.7 to Python 3.6, and uses Bazel 3.4 and GCC 7.5 to build the system. One of the major upgrades in Apollo 6.0 is the development environment with build and dependency updates, in an effort to stay up with the industrial and academic trends and boost the performance of Apollo’s algorithms. The system is also able to recognize the location of emergency vehicles and whether they are approaching or driving further away. Apollo 6.0 also adds an audio-based emergency vehicle detection system, which uses a deep learning method to detect emergency vehicles with a 95%+ accuracy in the selected dataset.
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