Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups in the logistics industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. So, let’s take a look at promising machine learning solutions for commercial vehicles.
Heat Map: 5 Top Machine Learning Startups
For our 5 picks of machine learning startups for commercial vehicles, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 5 interesting examples out of 450 relevant solutions. Depending on your specific needs, your top picks might look entirely different.
TuSimple – Self-Driving Trucks
Self-driving trucks enable vehicles to drive long distances autonomously with the driver being ready to take over when necessary. These trucks can navigate long-distances, adjust the driving manner in accordance with weather conditions, and provide instant driving decisions without human interaction. The US startup TuSimple works on self-driving trucks that have a 1000-meter perception system and integrated Artificial Intelligence (AI), which is capable of navigating long-distance highway trips and complex surface street driving. Their system enables self-driving vehicles to react quickly to various potentially dangerous road situations and thereby makes self-driving trucks safer.
Autobon – Trucking Assistance
Trucking assistance is essentially an AI-driven system that analyzes information about fuel usage, safety tracking, and operations assistance and enables software integration for vehicle telematics. For instance, Autobon from Chicago, USA, creates a connected sensing platform to identify driver performance such as break and steering aggressivity, fleet usage, lane deviation and provides assistance while on the road — making it easier to drive the truck.
Platoon Connect – Truck Platooning
Platooning for trucks enables vehicles to unite when they have the same destination. In this case, the following trucks adjust their speed to the first truck, thereby minimizing fuel consumption, encouraging team cooperation, and alerting the driver about cutting-in cars with the help of vehicle-to-vehicle (V2V) communication. German startup Platoon Connect, for example, allows to find matching trucks to act as platoon partners, organizes platoons in advance and real-time, and distributes financial benefits among all participants.
Acacus – Fleet Management System
Artificial Intelligence-powered fleet management systems provide significant data regarding fleet operation optimization, vehicle location, schedule optimization, and an alerting system, all gathered in one software. For instance, Acacus, a Dubai-based startup, incorporates and analyzes data on fleets with the help of AI-based in-built cameras equipped with sensors, and provides diagnostic data to track trucks remotely.
Idrive – Truck Telematics
Telematics monitors various means of information regarding fleet and individual vehicles such as driver identification, driver’s facial recognition, driver’s driving behaviors, and distance, among others. The US-based startup Idrive, for example, embeds distracted driver identification to detect those who use mobile phones while driving or are distracted for other reasons and could trigger accidents.
What About The Other 445 Machine Learning Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 5 machine learning startups showcased above are promising examples out of 450 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.