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Auto-Wares: Learning To Grow
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By Counterman
The
link hidden, please login to view released its online publications, the 2025 Auto Care Factbook and the 2025 Auto Care Factbook & Lang Annual. This is the 34th edition of the Auto Care Factbook, which provides the latest consumer and industry trends, expanded international market performance and more, according to the Association. Along with a projected 5.7% growth in 2024, the Factbook projects the total light-, medium- and heavy-duty automotive aftermarket to be a $617.3 billion industry in 2027.
In the 193-page Auto Care Factbook report, readers will find:
The Joint Channel Forecast Model through 2027 prepared by S&P Global; Financial Benchmarks provided by Jefferies; E-Commerce trends; Vehicle registrations and usage; Collision, Paint, Body and Equipment data; State summary statistics; NEW Global Aftermarket industry profiles for Argentina, Brazil and Guatemala; UPDATED Aftermarket industry profiles for Bolivia, Canada and Mexico; UPDATED Driving behavior data; UPDATED Auto care industry consumer profiles and aftermarket service satisfaction by IMR, Inc.; UPDATED Electric vehicle aftermarket in China; UPDATED Tool and equipment purchasing trends; UPDATED Medium and heavy duty vehicles technology, parts and distribution. “As credit card debt in the U.S. reaches an all-time high of more than $17 trillion in 2024, Americans are feeling the weight of inflation and choosing more cost-saving options when possible, including with the maintenance of their cars,” said Bill Hanvey, president and CEO,
link hidden, please login to view “For many of the 236 million licensed drivers in the U.S., driving isn’t a luxury—it’s an everyday necessity—and the automotive aftermarket is proving to be the most viable option for affordable service and repair for many Americans as their budgets tighten. This year’s Factbook report underlines this trend of cost consciousness for the American consumer from the barber shop to the repair shop. The Factbook gives readers a holistic view of the aftermarket with the latest available data, equipping industry professionals with the information needed to plan for the year ahead.” All Auto Care Association contacts at member companies receive a complimentary digital copy of the 2025 Auto Care Factbook report as an association member benefit.
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By Erica Zhu Feilong Jiangli
Farreo has developed an end-to-end learning system for speed control. The system adopts the function of neuron network and long-term memory (LSTM), which is a recurrent neural network (RNN), and can learn long-term dependencies.
The new system was developed by Wirbel and her colleagues, who also deployed an artificial neural network (ANN), which relies on in-depth learning technology. The network has been provided with a large number of demonstrations of human drivers'vehicle operation, which are recorded by forward-looking cameras and can be closely related to the driver's visual field when driving.
The neuron network will also be trained to imitate the driver's behavior, especially focusing on reproducing the current speed of the vehicle. For example, when the input image contains a speed-limiting panel of 50 km/h, the neuron network will ensure that the current speed of the vehicle is not higher than 50 km/h.
Perhaps in the near future, the neuron network system will be deployed in the automatic driving vehicle to improve the efficiency of speed control and achieve more intuitive driving control. Researchers plan to apply this proof-of-concept to more complex driving situations, adding a variety of complex driving manipulations, such as diversion, turning at intersections or vehicle navigation at roundabouts.
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