Kashyap Chitta

Affiliations

University of Tübingen

papers

1,585

total citations

papers (10)

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

ECCV 2022arXiv

117

citations

Hidden Biases of End-to-End Driving Models

ICCV 2023arXiv

108

citations

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic

ECCV 2024arXiv

citations

ReSim: Reliable World Simulation for Autonomous Driving

NEURIPS 2025arXiv

citations

Learning Situational Driving

CVPR 2020

citations

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving

CVPR 2020

citations

Kashyap Chitta

Affiliations

papers (10)

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Projected GANs Converge Faster

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Generalized Predictive Model for Autonomous Driving

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

Hidden Biases of End-to-End Driving Models

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic

ReSim: Reliable World Simulation for Autonomous Driving

Learning Situational Driving

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving

papers (10)

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Projected GANs Converge Faster

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Generalized Predictive Model for Autonomous Driving

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

Hidden Biases of End-to-End Driving Models

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic

ReSim: Reliable World Simulation for Autonomous Driving

Learning Situational Driving

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving