In a press release on Thursday, General Motors announced that SoftBank would be investing $2.25 billion in the automaker’s self-driving unit, GM Cruise Holdings LLC. The Detroit-based auto giant would also be investing an additional $1.1 billion into its self-driving division. These investments are aimed at boosting the unit’s capability to reach commercialization at scale by next year.
GM Chairman and CEO Mary Barra lauded the additional investments into the company’s self-driving unit. Barra noted in the press release that the support from SoftBank adds an “additional strong partner” as the automaker pursues its “vision of zero crashes, zero emissions, and zero congestion.”
GM Cruise currently operates a fleet of autonomous Chevy Bolt EVs in San Francisco that provide autonomous ride-hailing services to its employees. Plans are also underway to develop a Chevy Bolt EV variant that is specifically designed to be fully autonomous, with the vehicle not having pedals or a steering wheel.
SoftBank’s $2.25 billion investment into GM Cruise will be made in two tranches. SoftBank Vision Fund will first invest $900 million at the closing of the transaction. Once GM Cruise’s autonomous vehicles are ready to hit the market, Vision Fund will release the second tranche of $1.35 billion. This will ultimately result in SoftBank Vision Fund commanding a 19.6% stake in GM Cruise.
The new investment brings GM Cruise’s valuation close to $11.5 billion. The investment also brings to light the arguable undervaluation of Tesla’s Autopilot system, which has been on the consumer market for several years and has more than 150,000 vehicles from around the world that’s collecting data.
Still, GM Cruise’s new financial backing puts tremendous pressure on Tesla, which has seen its fair share of scrutiny as it steadily improves its Autopilot software in the public eye. Despite having collected reservation deposits for its Full Self-Driving capability that is yet to be released, Autopilot continues to improve and pacing toward full autonomy, according to CEO Elon Musk.
During the Q4 2017 earnings call, Musk addressed the delays in the company’s planned coast-to-coast autonomous drive. The exhibition, which was set for December 2017, did not pan out, although Tesla could have accomplished the coast-to-coast trip, according to Musk. However, doing so would have required far too much “specialized code” that would only be fully effective on a particular route. During the earnings call, Musk stated that Tesla would likely conduct the autonomous coast-to-coast drive sometime this year.
A Tesla Model 3 on Autopilot. [Credit: LivingTesla/YouTube]
One notable difference between Tesla and GM Cruise, and Google’s Waymo is the Tesla’s opposition to the utilization of LiDAR technology – a common fixture on self-driving cars. Instead of LiDAR, Tesla’s electric cars rely on a series of cameras, radar, and ultrasonic sensors to collect data on a vehicle’s surroundings. LiDAR, which is used in GM Cruise’s Chevy Bolt EVs and Waymo’s autonomous vehicles, boasts high spatial precision. Inasmuch as LiDAR can measure distances well, however, it performs poorly in bad weather.
Ultimately, Tesla’s ace-in-the-hole in the increasingly competitive self-driving car market could be its neural net and sharing of fleet data. There are roughly 150,000 AP2.0 vehicles on the road today, with each one providing valuable data to Tesla’s deep neural networks. Akin to the human brain, the more data that is available to train the neural network, the better its performance would be.
Ultimately, Tesla’s neural net could be the difference-maker when the company goes all-in and competes in the self-driving race. Until then, however, the electric car maker could soon be taking a backseat to companies like GM Cruise and Waymo, both of which are accelerating their efforts at rolling out consumer-ready autonomous vehicles in the near future.
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If 900 million would get you to autonomous driving, Tesla would be there already. Even with the second tranche they will be very hard pressed to get any sort of a real self driving system operational.
However, this really does show how undervalued the Tesla auto-driving system is now.
If 900 million would get you to autonomous driving, Tesla would be there already. Even with the second tranche they will be very hard pressed to get any sort of a real self driving system operational.
The money will help them scale the operation but the real progress will be made with real cars on the road in real world conditions and to get to that stage like Tesla has will take a lot more money, top talent and time.
Once you have the tech you then need the software to catch up this is why real data is important and the with the Tesla Neural Net it should be possible to combine a simulation with real world data to fine tune the autopilot system. I have no doubt there is already the software available at a basic level but it for sure will need to be tested and improved, huge possibilities but it all takes time and money in one form or another.
You are wrong.
Always nice to see someone so firm in their smugness that they can label others wrong ... (pity this didn't come with any logical explanation as to whom was wrong about what or why they were wrong).
