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researcher

V. Talpaert

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedExploring applications of deep reinforcement learning for real-world autonomous driving systems

6 citations · 6 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2020

Deep Reinforcement Learning for Autonomous Driving: A Survey

B Ravi Kiran, Ibrahim Sobh, Victor Talpaert +4

With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of learning complex policies in…

cs.LG2019★ 6 cited

Exploring applications of deep reinforcement learning for real-world autonomous driving systems

Victor Talpaert, Ibrahim Sobh, B Ravi Kiran +4

Deep Reinforcement Learning (DRL) has become increasingly powerful in recent years, with notable achievements such as Deepmind's AlphaGo. It has been successfully deployed in comme…

cs.CV2018

Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps

B Ravi Kiran, Luis Roldão, Benat Irastorza +6

Lidar has become an essential sensor for autonomous driving as it provides reliable depth estimation. Lidar is also the primary sensor used in building 3D maps which can be used ev…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.