354 citations · 582 across the 39 of their papers we have counts for
8 papers · 1 filter
Decision-Time Postponing Motion Planning for Combinatorial Uncertain Maneuvering
Ömer Şahin Taş, Felix Hauser, Christoph Stiller
Motion planning involves decision making among combinatorial maneuver variants in urban driving. A planner must consider uncertainties and associated risks of the maneuver variants…
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation
Juncong Fei, Wenbo Chen, Philipp Heidenreich +2
3D pedestrian detection is a challenging task in automated driving because pedestrians are relatively small, frequently occluded and easily confused with narrow vertical objects. L…
RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features
Javier Lorenzo, Ignacio Parra, Florian Wirth +3
Pedestrian crossing prediction is a crucial task for autonomous driving. Numerous studies show that an early estimation of the pedestrian's intention can decrease or even avoid a h…
Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data
Frank Bieder, Sascha Wirges, Johannes Janosovits +3
In this paper, we consider the transformation of laser range measurements into a top-view grid map representation to approach the task of LiDAR-only semantic segmentation. Since th…
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
Danial Kamran, Carlos Fernandez Lopez, Martin Lauer +1
Reinforcement learning is nowadays a popular framework for solving different decision making problems in automated driving. However, there are still some remaining crucial challeng…
Learned Enrichment of Top-View Grid Maps Improves Object Detection
Sascha Wirges, Ye Yang, Sven Richter +2
We propose an object detector for top-view grid maps which is additionally trained to generate an enriched version of its input. Our goal in the joint model is to improve generaliz…