1 citations · 2 across the 8 of their papers we have counts for
8 papers
Autonomous Vehicle Path Planning by Searching With Differentiable Simulation
Asen Nachkov, Jan-Nico Zaech, Danda Pani Paudel +2
Planning allows an agent to safely refine its actions before executing them in the real world. In autonomous driving, this is crucial to avoid collisions and navigate in complex, d…
LLM Agents Beyond Utility: An Open-Ended Perspective
Asen Nachkov, Xi Wang, Luc Van Gool
Recent LLM agents have made great use of chain of thought reasoning and function calling. As their capabilities grow, an important question arises: can this software represent not…
Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models
Asen Nachkov, Danda Pani Paudel, Jan-Nico Zaech +2
Differentiable simulators represent an environment's dynamics as a differentiable function. Within robotics and autonomous driving, this property is used in Analytic Policy Gradien…
Neural 4D Evolution under Large Topological Changes from 2D Images
AmirHossein Naghi Razlighi, Tiago Novello, Asen Nachkov +2
In the literature, it has been shown that the evolution of the known explicit 3D surface to the target one can be learned from 2D images using the instantaneous flow field, where t…
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
Asen Nachkov, Danda Pani Paudel, Luc Van Gool
Current methods to learn controllers for autonomous vehicles (AVs) focus on behavioural cloning. Being trained only on exact historic data, the resulting agents often generalize po…
Diffusion-Based Particle-DETR for BEV Perception
Asen Nachkov, Martin Danelljan, Danda Pani Paudel +1
The Bird-Eye-View (BEV) is one of the most widely-used scene representations for visual perception in Autonomous Vehicles (AVs) due to its well suited compatibility to downstream t…
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM
Junru Lin, Asen Nachkov, Songyou Peng +2
In this work, we address the challenge of deploying Neural Radiance Field (NeRFs) in Simultaneous Localization and Mapping (SLAM) under the condition of lacking depth information,…
Bag of Policies for Distributional Deep Exploration
Asen Nachkov, Luchen Li, Giulia Luise +2
Efficient exploration in complex environments remains a major challenge for reinforcement learning (RL). Compared to previous Thompson sampling-inspired mechanisms that enable temp…