A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Toward autonomous driving: The CMU Navlab. I - Perception
The Navlab project, which seeks to build an autonomous robot that can operate in a realistic environment with bad weather, bad lighting, and bad or changing roads, is discussed. The perception techniques developed for the Navlab include road-following techniques using color classification and neural nets. These are discussed with reference to three road-following systems, SCARF, YARF, and ALVINN. Three-dimensional perception using three types of terrain representation (obstacle maps, terrain feature maps, and high-resolution maps) is examined. It is noted that perception continues to be an obstacle in developing autonomous vehicles.
Toward autonomous driving: The CMU Navlab. I - Perception
The Navlab project, which seeks to build an autonomous robot that can operate in a realistic environment with bad weather, bad lighting, and bad or changing roads, is discussed. The perception techniques developed for the Navlab include road-following techniques using color classification and neural nets. These are discussed with reference to three road-following systems, SCARF, YARF, and ALVINN. Three-dimensional perception using three types of terrain representation (obstacle maps, terrain feature maps, and high-resolution maps) is examined. It is noted that perception continues to be an obstacle in developing autonomous vehicles.
Toward autonomous driving: The CMU Navlab. I - Perception
Thorpe, Charles (author) / Hebert, Martial (author) / Kanade, Takeo (author) / Shafer, Steven (author)
IEEE Expert ; 6
1991-08-01
Miscellaneous
No indication
English
Studying Driver’s Perception Arousal and Takeover Performance in Autonomous Driving
| DOAJ | 2022
Toward More Realistic Driving Behavior Models for Autonomous Vehicles in Driving Simulators
| British Library Online Contents | 2003