Autonomous Off-Road Driving - Robotics Institute Carnegie Mellon University
Autonomous Off-Road Driving
Project Head: George A. Kantor

We are developing autonomous technology for off-road driving in wilderness environments Key developments include perception, planning and control capabilities. This is a joint development with Yamaha Motor Corporation and the CMU Field Robotics Center.

– Pose Estimation: Fuse multiple sensors (camera, LIDAR & IMU) with GPS to enhance accurate local mapping and to cope with GPS-degraded situations.

– Classification: Use Pose Estimation to reconstruct local geometry, use convolutional neural network approach to semantically label visible objects.

– Global Planning: Use publicly available aerial imagery and digital elevation maps to plan long trips.

– Local Planning: Build mesh model of local terrain from LIDAR data, simulate vehicle travel for candidate paths to find best local path.

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current head

current contact

past staff

  • Po-Wei Chou
  • Yuji Hiramatsu
  • Dong Ki Kim
  • Masashi Uenoyama
  • Michael D Wagner