RoadRunner--Learning Traversability Estimation for Autonomous Off-road Driving
Autonomous navigation at high speeds in off-road environments necessitates robots to
comprehensively understand their surroundings using onboard sensing only. The extreme …
comprehensively understand their surroundings using onboard sensing only. The extreme …
A multi-step dynamics modeling framework for autonomous driving in multiple environments
Modeling dynamics is often the first step to making a vehicle autonomous. While on-road
autonomous vehicles have been extensively studied, off-road vehicles pose many …
autonomous vehicles have been extensively studied, off-road vehicles pose many …
Relead: Resilient localization with enhanced lidar odometry in adverse environments
LiDAR-based localization is valuable for applications like mining surveys and underground
facility maintenance. However, existing methods can struggle when dealing with …
facility maintenance. However, existing methods can struggle when dealing with …
Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation
C Chung, G Georgakis, P Spieler… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Understanding terrain topology at long-range is crucial for the success of off-road robotic
missions, especially when navigating at high-speeds. LiDAR sensors, which are currently …
missions, especially when navigating at high-speeds. LiDAR sensors, which are currently …
Robust High-Speed State Estimation for Off-road Navigation using Radar Velocity Factors
Enabling robot autonomy in complex environments for mission critical application requires
robust state estimation. Particularly under conditions where the exteroceptive sensors, which …
robust state estimation. Particularly under conditions where the exteroceptive sensors, which …
Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments
Off-road environments pose significant perception challenges for high-speed autonomous
navigation due to unstructured terrain, degraded sensing conditions, and domain-shifts …
navigation due to unstructured terrain, degraded sensing conditions, and domain-shifts …
Comparison of FGO and KF for PDR-GNSS Fusion on Smartphone for Diverse Pedestrian Movements
Smartphone-based positioning has gained significant popularity due to its widespread
availability. However, its reliance on GNSS as the primary positioning component poses …
availability. However, its reliance on GNSS as the primary positioning component poses …
ROAMER: Robust Offroad Autonomy using Multimodal State Estimation with Radar Velocity Integration
Reliable offroad autonomy requires low-latency, high-accuracy state estimates of pose as
well as velocity, which remain viable throughout environments with sub-optimal operating …
well as velocity, which remain viable throughout environments with sub-optimal operating …