5 papers · 1 filter
DTP-Attack: A decision-based black-box adversarial attack on trajectory prediction
Jiaxiang Li, Jun Yan, Daniel Watzenig +1
Trajectory prediction systems are critical for autonomous vehicle safety, yet remain vulnerable to adversarial attacks that can cause catastrophic traffic behavior misinterpretatio…
MAP: End-to-End Autonomous Driving with Map-Assisted Planning
Huilin Yin, Yiming Kan, Daniel Watzenig
In recent years, end-to-end autonomous driving has attracted increasing attention for its ability to jointly model perception, prediction, and planning within a unified framework.…
Thermal-LiDAR Fusion for Robust Tunnel Localization in GNSS-Denied and Low-Visibility Conditions
Lukas Schichler, Karin Festl, Selim Solmaz +1
Despite significant progress in autonomous navigation, a critical gap remains in ensuring reliable localization in hazardous environments such as tunnels, urban disaster zones, and…
A Cost-Effective Approach to Smooth A* Path Planning for Autonomous Vehicles
Lukas Schichler, Karin Festl, Selim Solmaz +1
Path planning for wheeled mobile robots is a critical component in the field of automation and intelligent transportation systems. Car-like vehicles, which have non-holonomic const…
Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning
Huilin Yin, Shengkai Su, Yinjia Lin +3
With the flourishing development of intelligent warehousing systems, the technology of Automated Guided Vehicle (AGV) has experienced rapid growth. Within intelligent warehousing e…