The so-called xAUTO is a concept that uses Mitsubishi Electric technologies for autonomous driving.
Mitsubishi Electric Corporation (TOKYO: 6503) said today that it would exhibit the latest version of the xAUTO, a vehicle claimed to be capable of autonomous driving on surface roads without high-definition maps and autonomous parking both indoors and outdoors, during the 46th Tokyo Motor Show 2019.
The system, it’s claimed, is now capable of driving on surface roads without high-definition maps and autonomous parking both indoors and outdoors, has been tested on actual surface roads near Tokyo’s waterfront and in the city of Tsukuba, located north of Tokyo.
Mitsubishi’s autonomous driving system is achieved with sensor-fusion technologies with peripheral sensors, millimeter-wave radar and cameras, as well as infrastructure-assisted technologies using Centimeter Level Augmentation Service (CLAS) signals from the Quasi Zenith Satellite System and high-definition three-dimensional maps.
Mitsubishi Electric said it expects to realize fully autonomous driving in designated areas (Autonomous Driving Level 4 > see SAE Autonomous Driving Levels) by implementing proprietary traffic-control technologies, which are currently deployed for both railways and aircrafts, and artificial-intelligence (AI) technology dubbed MAISART. (roughly – Mitsubishi AI creates State-of-the-ART in technology)
Autonomous driving in local areas without high-definition maps:
Centimeter-level vehicle trajectory data, measured by using a fusion algorithm with CLAS-based positioning data and other vehicle data, such as speed, yaw rate (degree of lateral movement), is recorded several times. Then, these trajectory data are combined into a high-definition local map for use with the autonomous driving system. As a result, the system can work in places where high-definition maps do not exist, such as residential areas, private roads, farm roads, etc.
Accurate positioning and routing for autonomous parking both outdoors and indoors:
The xAUTO’s Automated Valet Parking System calculates the best driving route to a specified parking space based on an operating plan (parking space location, passage points, etc.) provided from a control system. When parking outdoors, the system traces the calculated route with CLAS-based positioning. Indoors, the system accurately calculates positions by using cameras mounted on the xAUTO to detect landmarks installed in the parking lot.
Proprietary sensor-fusion technology constantly detects vehicle periphery fast and accurately:
In general, autonomous-driving systems require various sensors, such as radars, cameras, etc. However, since data-processing time and data-update cycles vary depending on each sensor’s data-gathering method, recognition errors can occur when differently timed information is processed simultaneously.
To overcome this problem, Mitsubishi Electric developed a “sensor-fusion technology” that seamlessly integrates information from various sensors by adjusting the data-output time from each sensor. As a result, the system robustly and accurately detects the situation surrounding the vehicle as well as the vehicle’s speed.
AutoInformed.com on
About Ken Zino
Ken Zino, publisher (kzhw@aol.com), is a versatile auto industry participant with global experience spanning decades in print and broadcast journalism, as well as social media. He has automobile testing, marketing, public relations and communications experience. He is past president of The International Motor Press Assn, the Detroit Press Club, founding member and first President of the Automotive Press Assn. He is a member of APA, IMPA and the Midwest Automotive Press Assn.
Zino is at home on test tracks, knows his way around U.S. Congressional hearing rooms, auto company headquarters, plant floors, as well as industry research and development labs where the real mobility work is done. He can quote from court decisions, refer to instrumented road tests, analyze financial results, and profile executive personalities and corporate cultures.
He also brings an historical perspective while citing their contemporary relevance of the work of legendary auto writers such as Ken Purdy, Jim Dunne or Jerry Flint, or writers such as Red Smith, Mark Twain, Thomas Jefferson – all to bring perspective to a chaotic automotive universe.
Above all, decades after he first drove a car, Zino still revels in the sound of the exhaust as the throttle is blipped and the driver’s rush that occurs when the entry, apex and exit points of a turn are smoothly and swiftly crossed. It’s the beginning of a perfect lap.
AutoInformed has an editorial philosophy that loves transportation machines of all kinds while promoting critical thinking about the future use of cars and trucks.
Zino builds AutoInformed from his background in automotive journalism starting at Hearst Publishing in New York City on Motor and MotorTech Magazines and car testing where he reviewed hundreds of vehicles in his decade-long stint as the Detroit Bureau Chief of Road & Track magazine. Zino has also worked in Europe, and Asia – now the largest automotive market in the world with China at its center.
Mitsubishi Electric Claims Level 4 Autonomous Driving Without High Definition Maps or Auto Parking
The so-called xAUTO is a concept that uses Mitsubishi Electric technologies for autonomous driving.
Mitsubishi Electric Corporation (TOKYO: 6503) said today that it would exhibit the latest version of the xAUTO, a vehicle claimed to be capable of autonomous driving on surface roads without high-definition maps and autonomous parking both indoors and outdoors, during the 46th Tokyo Motor Show 2019.
The system, it’s claimed, is now capable of driving on surface roads without high-definition maps and autonomous parking both indoors and outdoors, has been tested on actual surface roads near Tokyo’s waterfront and in the city of Tsukuba, located north of Tokyo.
Mitsubishi’s autonomous driving system is achieved with sensor-fusion technologies with peripheral sensors, millimeter-wave radar and cameras, as well as infrastructure-assisted technologies using Centimeter Level Augmentation Service (CLAS) signals from the Quasi Zenith Satellite System and high-definition three-dimensional maps.
Mitsubishi Electric said it expects to realize fully autonomous driving in designated areas (Autonomous Driving Level 4 > see SAE Autonomous Driving Levels) by implementing proprietary traffic-control technologies, which are currently deployed for both railways and aircrafts, and artificial-intelligence (AI) technology dubbed MAISART. (roughly – Mitsubishi AI creates State-of-the-ART in technology)
Autonomous driving in local areas without high-definition maps:
Centimeter-level vehicle trajectory data, measured by using a fusion algorithm with CLAS-based positioning data and other vehicle data, such as speed, yaw rate (degree of lateral movement), is recorded several times. Then, these trajectory data are combined into a high-definition local map for use with the autonomous driving system. As a result, the system can work in places where high-definition maps do not exist, such as residential areas, private roads, farm roads, etc.
Accurate positioning and routing for autonomous parking both outdoors and indoors:
The xAUTO’s Automated Valet Parking System calculates the best driving route to a specified parking space based on an operating plan (parking space location, passage points, etc.) provided from a control system. When parking outdoors, the system traces the calculated route with CLAS-based positioning. Indoors, the system accurately calculates positions by using cameras mounted on the xAUTO to detect landmarks installed in the parking lot.
Proprietary sensor-fusion technology constantly detects vehicle periphery fast and accurately:
In general, autonomous-driving systems require various sensors, such as radars, cameras, etc. However, since data-processing time and data-update cycles vary depending on each sensor’s data-gathering method, recognition errors can occur when differently timed information is processed simultaneously.
To overcome this problem, Mitsubishi Electric developed a “sensor-fusion technology” that seamlessly integrates information from various sensors by adjusting the data-output time from each sensor. As a result, the system robustly and accurately detects the situation surrounding the vehicle as well as the vehicle’s speed.
AutoInformed.com on
About Ken Zino
Ken Zino, publisher (kzhw@aol.com), is a versatile auto industry participant with global experience spanning decades in print and broadcast journalism, as well as social media. He has automobile testing, marketing, public relations and communications experience. He is past president of The International Motor Press Assn, the Detroit Press Club, founding member and first President of the Automotive Press Assn. He is a member of APA, IMPA and the Midwest Automotive Press Assn. Zino is at home on test tracks, knows his way around U.S. Congressional hearing rooms, auto company headquarters, plant floors, as well as industry research and development labs where the real mobility work is done. He can quote from court decisions, refer to instrumented road tests, analyze financial results, and profile executive personalities and corporate cultures. He also brings an historical perspective while citing their contemporary relevance of the work of legendary auto writers such as Ken Purdy, Jim Dunne or Jerry Flint, or writers such as Red Smith, Mark Twain, Thomas Jefferson – all to bring perspective to a chaotic automotive universe. Above all, decades after he first drove a car, Zino still revels in the sound of the exhaust as the throttle is blipped and the driver’s rush that occurs when the entry, apex and exit points of a turn are smoothly and swiftly crossed. It’s the beginning of a perfect lap. AutoInformed has an editorial philosophy that loves transportation machines of all kinds while promoting critical thinking about the future use of cars and trucks. Zino builds AutoInformed from his background in automotive journalism starting at Hearst Publishing in New York City on Motor and MotorTech Magazines and car testing where he reviewed hundreds of vehicles in his decade-long stint as the Detroit Bureau Chief of Road & Track magazine. Zino has also worked in Europe, and Asia – now the largest automotive market in the world with China at its center.