Kat-5 was the fourth vehicle to make history in DARPA’s 2005 Grand Challenge, where for the first time ever, autonomous vehicles were able to travel through 100 miles of rough terrain at average speeds greater than 15 mph. In this paper, we describe the mechanisms and methods that were used to develop the vehicle. We describe the main hardware systems with which the vehicle was outfitted for navi-gation, computing, and control. We describe the sensors, the computing grid, and the methods that controlled the navigation based on the sensor readings. We also discuss the experiences gained in the course of the development and provide high-lights of actual field performance.
Robotic ground vehicles for outdoor applications have achieved some remarkable successes, notably in...
Autonomous navigation by a mobile robot through L natural, unstructured terrain is one of the premie...
Autonomous Navigation System is a state-of-the-art research, which integrates multi-disciplinary tec...
This paper presents a summary of SciAutonics-Auburn Engineering’s efforts in the 2005 DARPA Grand Ch...
This paper presents a summary of SciAutonics-Auburn Engineering’s efforts in the 2005 DARPA Grand Ch...
The DARPA grand challenges were conducted between 2004 and 2007 and were initiated to foster researc...
The recently growing interest the autonomous vehicle navigation has directed a lot of attention to t...
The SciAutonics vehicles in the DARPA Grand Challenge employ a combination of Lidar and Radar sensor...
Autonomous Cross-Country Navigation requires a system which can support a rapid traverse across chal...
This paper describes Princeton University's approach to the 2005 DARPA Grand Challenge, an off-road ...
Karamanoglu's research aims at the mobility issues in ground vehicles for civil applications. At...
Abstract. Off-road autonomous navigation is one of the most difficult automation challenges from the...
Self-driving cars are of great interest in computer science and artificial intelligence due to their...
The field of autonomous vehicles is a rapidly growing one, with significant interest from both gover...
The demand for the autonomous land vehicle industry has been increasing tremendously, and continues ...
Robotic ground vehicles for outdoor applications have achieved some remarkable successes, notably in...
Autonomous navigation by a mobile robot through L natural, unstructured terrain is one of the premie...
Autonomous Navigation System is a state-of-the-art research, which integrates multi-disciplinary tec...
This paper presents a summary of SciAutonics-Auburn Engineering’s efforts in the 2005 DARPA Grand Ch...
This paper presents a summary of SciAutonics-Auburn Engineering’s efforts in the 2005 DARPA Grand Ch...
The DARPA grand challenges were conducted between 2004 and 2007 and were initiated to foster researc...
The recently growing interest the autonomous vehicle navigation has directed a lot of attention to t...
The SciAutonics vehicles in the DARPA Grand Challenge employ a combination of Lidar and Radar sensor...
Autonomous Cross-Country Navigation requires a system which can support a rapid traverse across chal...
This paper describes Princeton University's approach to the 2005 DARPA Grand Challenge, an off-road ...
Karamanoglu's research aims at the mobility issues in ground vehicles for civil applications. At...
Abstract. Off-road autonomous navigation is one of the most difficult automation challenges from the...
Self-driving cars are of great interest in computer science and artificial intelligence due to their...
The field of autonomous vehicles is a rapidly growing one, with significant interest from both gover...
The demand for the autonomous land vehicle industry has been increasing tremendously, and continues ...
Robotic ground vehicles for outdoor applications have achieved some remarkable successes, notably in...
Autonomous navigation by a mobile robot through L natural, unstructured terrain is one of the premie...
Autonomous Navigation System is a state-of-the-art research, which integrates multi-disciplinary tec...