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Discover 5 Top Advanced Driver Assistance System (ADAS) Solutions

Curious about new technological advancements in the automotive industry? Explore our analysis of 208 global startups & scaleups and learn how their ADAS solutions impact your business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the automotive industry. This time, you get to discover 5 hand-picked startups developing advanced driver assistance system (ADAS) solutions.

Out of 208, the Global Startup Heat Map highlights 5 Top Advanced Driver Assistance System (ADAS) Solutions

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 208 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 automotive startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 203 ADAS solutions, get in touch.

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M-ADAS facilitates Intelligent Speed Adaptation

Founding Year: 2019
Location: Tel Aviv, Israel
Partner for: Automated Speed Control, Driver Safety

Israeli startup M-ADAS provides an intelligent speed adaptation and prediction system for application in the automotive sector. The startup’s solution calculates the data of the road ahead, the angle of upcoming curves, and payload data to alert the driver with speed warnings through tune indications and voice alerts. It also accounts for elements like cargo behavior and fluid mechanics to optimize the drivers’ on-road safety. This provides fleet operators and managers with a tool to track their vehicles and drivers more efficiently and safely. Besides, the system automates speed adjustment for cars before dangerous curves, while for heavy vehicles, it provides adjusted speed warnings during turns.

Sensorit offers Smart Vision Systems

Founding Year: 2017
Location: Cape Town, South Africa
Partner for: Anti-Car Theft Protection, Remote Trip Monitoring

South-African startup Sensorit develops frames AI, a sensor-integrated smart technology for ADAS applications. frames AI collects, aggregates, and analyzes environmental data using synthetic aperture radar, depth optical sensor, active radar, and Light Detection and Ranging (LIDAR) to optimize driving. The startup’s Smart Rear-View Mirror system integrates a navigation system and remote trip monitoring to improve driver’s safety. In addition, its Smart Control solution renders vehicle authentication and vehicle anti-theft functionality to the car. The collected data includes road markings, vehicles, people, electricity networks, plumbing networks, and more. In this way, the startup improves the safety of autonomous vehicle operations.

Curium enables Sensor Calibration

Founding Year: 2020
Location: Singapore, Singapore
Partner for: Autonomous Driving Accuracy Control, Sensor Condition Monitoring

Curium is a startup based in Singapore that offers a calibration platform for advanced driver assistance systems. It supports both static and dynamic fully automated sensor calibration. The platform also provides maintenance data, vehicle health reports, and incident alerting. The dynamic calibration solution continuously monitors the incoming data from various sensors and analyzes them for deviations from the norm. Later, it identifies miscalibrations and dynamically adjusts the settings to maintain the sensor accuracy. This ensures that artificial intelligence and machine learning systems in autonomous vehicles work optimally.

AirGO.Ai develops Passive Driver Assistance System

Founding Year: 2019
Location: Issaquah, Washington, USA
Partner for: Driver Monitoring, Teenage Driving Assistance

US-based startup AirGO.Ai offers Soteria, a passive advanced driver assistance system. The solution integrates distracted driver monitoring (ADAS/DMS) and telematics systems for teenage driving assistance. It also improves the safety of vehicles through facial recognition and enables advanced insurance offerings. Soteria uses an advanced computer vision system to detect driver drowsiness, seat belt use, passenger count, and more. In addition, it assists the driver with blind-spot detection, lane-keeping, pedestrian detection, and oncoming vehicle spotting along with location, braking, and acceleration assistance. Besides, Soteria notifies parents or relatives in case of extremities and detects multiple drivers for every system. This equips teenage drivers with an ADAS and their parents or guardians with a monitoring tool.

Ottometric provides an ADAS Validation System

Founding Year: 2018
Location: Newton, Massachusetts, USA
Partner for: ADAS Performance Improvement

Ottometric is a US-based startup that provides a platform for ADAS validation and training. The startup’s software automates and enhances the validation and training processes to improve system reliability. It uses AI and mathematical models to analyze sensor and system data. The data is further verified against the correct operation of the ADAS and generates a prioritized list of scenarios that warrant manual review. This provides automotive engineers with detailed performance data to improve ADAS operations.

Discover more Automotive Startups

Automotive startups such as the examples highlighted in this report focus on machine learningcomputer vision, and automotive sensors. While all of these technologies play a major role in advancing the automotive industry, they only represent the tip of the iceberg. To explore more automotive technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free Automotive Innovation Report to save your time and improve strategic decision-making.

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