Xiaomi boosts its autonomous driving efforts by hiring ex-CTO from TuSimple
In the rapidly evolving world of autonomous driving, several key players are making strides in the industry. Here's a look at some of the recent developments:
Huawei has made a significant shift in its autonomous driving system (ADS) 3.0, replacing the BEV network with the general obstacle detection (GOD) network for perception and the PDP network for pre-decision planning. This move is part of Huawei's ongoing efforts to improve the safety and efficiency of its autonomous driving technology.
Meanwhile, Xpeng has unveiled its Tianji System XOS 5.1, aiming to equip Xpeng vehicles with the ability to navigate every road nationwide by the third quarter of 2024. This ambitious project is a testament to Xpeng's commitment to advancing autonomous driving technology.
Xiaomi, another major player, has been making headlines with its impressive strides in autonomous driving. The company has invested over RMB 4.7 billion in intelligent driving and has a test mileage exceeding 10 million kilometers. Xiaomi's first car, which sold over 88,000 units in just 33 days, boasts an 82.39% intelligent driving activation rate. The company has also demonstrated end-to-end capabilities in parking scenarios, achieving 5-centimeter precision for parking in narrow spaces and 23 km/h cruising for valet parking.
Tesla, a pioneer in the autonomous driving sector, has made several notable advancements. In 2021, Tesla introduced Transformer-based bird's eye view (BEV) technology into the perception field. More recently, Tesla made a new breakthrough by introducing neural networks into the decision-making, planning, and control fields. Tesla's FSD upgrades the urban driving stack to a single end-to-end neural network.
The industry is also seeing notable personnel changes. Wang Naiyan, a renowned figure in the field of autonomous driving, has joined Xiaomi Auto. Wang, who graduated from the Hong Kong University of Science and Technology, is a core developer of the deep learning open source framework MXNet and has published over 40 papers in top-tier conferences and journals in computer vision and machine learning. Wang will report to Ye Hangjun, chairman of Xiaomi's technical committee and head of Xiaomi Auto's autonomous driving division.
Xiaomi's autonomous driving team currently has over 1,000 people, a testament to the company's commitment to this technology. However, it's worth noting that while Xiaomi is making impressive strides in autonomous driving, other companies like Huawei and Xpeng are facing challenges. For instance, Xpeng, despite its strong technology, is facing declining sales, while popular Aito models are providing Huawei with a constant stream of data.
In terms of new technologies, the introduction of technologies such as Occupancy Network has expanded the boundaries of pure vision solutions. This technology, which was adopted by Tesla in 2021, is expected to play a significant role in the future of autonomous driving.
As the race to develop autonomous driving technology continues, it's clear that we can expect to see more innovations and advancements in the coming months and years.
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