The World Health Organization claims that 94% of global traffic fatalities happen as a result of human error.
There’s hope though, that autonomous driving systems can eliminate these errors.
Personal and public transportation, various delivery vehicles, cyclists, and crowded sidewalks — the city environment is hazardous for the most vulnerable road users. If we consider constant street congestion, blind spots of large public buses, and heavy machinery like forklifts that maneuver slowly, the traffic incident statistics come as no surprise.
However, before autonomous vehicles can adequately react to their surroundings in a timely manner, they have to learn to detect pedestrians. Since pedestrians’ physical features fall in a wide range and since pedestrians appear in different environments, sufficient accuracy of recognition is a major challenge for modern sensors.
That’s where OEMs can help by designing safer vehicles that can compensate for human error and take responsibility for some or all driving decisions.
Intellias experts analyze the main challenges of road safety, showcase how cars have evolved to mitigate problems related to human error, and explore the impact of automated vehicles on pedestrian fatalities.
This whitepaper aims to help OEMs solve their greatest challenges related to insufficient recognition accuracy of the existing technology and the high cost of its development. It offers an outlook on the advanced autonomous vehicle safety algorithms that will help reduce pedestrian deaths and earn trust in self-driving cars as the auto industry enters the driverless future.
Read Intellias report to learn:
• What capabilities define each level of autonomous driving
• Which technology stands behind pedestrian detection software in modern self-driving cars
• How object and pedestrian detection software works
As a renowned contributor of advanced technology solutions for the automotive industry, Intellias has worked on precise positioning systems and object recognition software.
Intellias experts aimed to create software modules that would outperform the existing technology and stay cost-effective at the same time. To forecast what methods will be most efficient for safe autonomous driving, the company’s experts rely on their previously introduced R&D project that predicts pedestrian collisions using a Kalman filter and AI/ML-enabled technology. In this whitepaper, Intellias experts also address various business models and suggest on the best one for OEMs to outpace the competition.
Download the Intellias report for more details on how car manufacturers can build intelligent vehicles that will react to changes in road conditions better than humans. Get closer to the era of smart cars that would learn consumer expectations as car makers start introducing fully autonomous driving functionality.
How can you solve pedestrian collision challenges?
Can sensors be the “eyes” of the car?
How can you lower car production costs while staying on the edge of innovation?
You’ll find answers to all these questions in the report.