research
∙
03/01/2022
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data
3D semantic segmentation (3DSS) is an essential process in the creation ...
share
research
∙
02/21/2022
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections
In recent years, great efforts have been devoted to deep imitation learn...
research
∙
02/18/2022
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
Off-road semantic segmentation with fine-grained labels is necessary for...
research
∙
03/10/2021
An Image-based Approach of Task-driven Driving Scene Categorization
Categorizing driving scenes via visual perception is a key technology fo...
research
∙
03/05/2021
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning
Road detection or traversability analysis has been a key technique for a...
research
∙
01/06/2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Autonomous driving (AD) agents generate driving policies based on online...
research
∙
06/08/2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation?
3D LiDAR semantic segmentation is a pivotal task that is widely involved...
research
∙
05/23/2020
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving
Driving in a human-like manner is important for an autonomous vehicle to...
research
∙
05/22/2020
Driver Identification through Stochastic Multi-State Car-Following Modeling
Intra-driver and inter-driver heterogeneity has been confirmed to exist ...
research
∙
03/31/2020
Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders
This work addresses on the following problem: given a set of unsynchroni...
research
∙
03/31/2020
Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene
We propose a graph neural network(GNN) based method to incorporate scene...
research
∙
03/29/2020
Scene-Aware Error Modeling of LiDAR/Visual Odometry for Fusion-based Vehicle Localization
Localization is an essential technique in mobile robotics. In a complex ...
research
∙
03/10/2020
Off-Road Drivable Area Extraction Using 3D LiDAR Data
We propose a method for off-road drivable area extraction using 3D LiDAR...
research
∙
02/21/2020
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances
3D semantic segmentation is one of the key tasks for autonomous driving ...
research
∙
09/16/2019
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning
Terrain traversability analysis is a fundamental issue to achieve the au...
research
∙
05/23/2019
Incorporating Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation
This work studies semantic segmentation using 3D LiDAR data. Popular dee...
research
∙
09/03/2018
