Mobilai’s autonomous vehicles, now equipped with the True Redundancy sensing system, show in a new video and do not edit driving skills similar to those of a real driver.
Mobilai, part of the Intel Group, today introduced in Israel the True Redundancy sensing system that operates without human hand contact. This is a significant milestone in the run-up to the launch of the robotic services planned to operate in Israel and Germany. The autonomous vehicle shown in the video simulates the skills of a human driver and mimics multi-stop driving similar to ride hailing services. “Contrary to industry-accepted norms, Mobilai’s True Redundancy system works with two separate back-up sensing systems. The vehicle’s natural maneuverability in incredibly complex scenarios proves the value of this approach.” Says Johann Youngwirth, Vice President of Mobility-as-a-Service, Mobilai.
The video shows Mobilai’s autonomous vehicle functioning as a robo-taxi service, traveling to multiple destinations and stopping at pick-up and drop-off points. In the fifth episode of the series of unedited driving videos, the full capabilities of the True Redundancy system are presented. Mobilai’s unique approach to merging the types of sensors in the autonomous vehicle (AV) leads the company’s most ceremonial navigation in the complex streets of Jerusalem at night. While previously unedited videos showed the autonomous vehicle while traveling with the camera system only, the new video shows the autonomous vehicle in its full configuration in which Mobilai plans to use the commercial layouts of the robo-taxi.
How it works: True Redundancy is Mobilai’s unique sensor merging approach that uses two independent sensing subsystems – one with cameras only and the other combining radar and lidar – to serve as a backup to each other instead of complementary systems. The result is a sensing solution that is supposed to extend the average time between faults. The autonomous vehicles currently traveling in Israel are Mobilai’s first vehicles to combine the two systems in one vehicle, illustrating the expected performance of the robo-ceremonies in action in the real world.
In an unedited 40-minute video, Mobilai’s autonomous vehicle is seen performing complex driving maneuvers on city roads despite harsh night lighting conditions and complex road signs. The human driving of the autonomous vehicle looks remarkably normal, and it manages to tackle challenging maneuvers without any hesitation.
The autonomous vehicle integrates with human drivers when making a left turn at an unmarked intersection (4:04; 06:48), which seems simple but in practice not at all, navigates safely and successfully around pedestrians crossing the road not at a crosswalk (08: 28,10 : 42), smoothly copes with illegal maneuvers of other drivers (04:34); Completes a 180-degree turn at a junction with multiple traffic signs (25:18); Navigates around vehicles blocking the lane (25:39); Navigates in a traffic circle with pedestrians (26:44); And performs other normal driving maneuvers.
Sensor air conditioning
The demonstration of True Redundancy on real roads is helping to remove the industry’s doubt in the approach taken by Mobilai to merge sensors. The autonomous vehicle performs the ride as a human driver would do, and demonstrates almost complete readiness for the operation of the planned robo-ceremonial services. Based on the formidable capabilities of Mobilai’s camera-based autonomous vehicle development fleet, the addition of radar – lidar to its sensor package was the final step in achieving the goals the company has set for itself with its unique autonomous vehicle technology.
Making the True Redundancy system active is a key milestone in Mobilai’s robo-ceremonial service planned for deployment later this year in Germany and Israel. Mobilai has begun the process of obtaining permits and regulatory approvals in both countries, which will allow the company to start giving up safety drivers on public roads.
Mobileye Drive, Mobilai’s self-driving system, integrates Mobilai’s industry-leading technologies, including Road Experience Management, the mapping company’s proprietary approach, which leverages mass sourcing data from mass driver assistance systems to build maps for autonomous vehicles in a short message; Responsibility-Sensitive Safety (RSS) driving policy that implements a mathematical model for improving safety through improved adaptation to unique driving environments; And True Redundancy, which combines two independent sensing subsystems powered by radar-lidar cameras, each capable of developing complete models and ultimately supporting fully end-to-end autonomous capabilities.
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