Investigating the impact of multi-lidar placement on object detection for autonomous driving H Hu, Z Liu, S Chitlangia, A Agnihotri, D Zhao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 40 | 2022 |
A convolutional neural network approach towards self-driving cars A Agnihotri, P Saraf, KR Bapnad 2019 IEEE 16th India Council International Conference (INDICON), 1-4, 2019 | 27 | 2019 |
Towards a fully RL-based Market Simulator L Ardon, N Vadori, T Spooner, M Xu, J Vann, S Ganesh Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021 | 14 | 2021 |
Multi-vehicle interaction scenarios generation with interpretable traffic primitives and gaussian process regression W Zhang, W Wang, J Zhu, D Zhao 2020 IEEE Intelligent Vehicles Symposium (IV), 1197-1204, 2020 | 12 | 2020 |
Average-Constrained Policy Optimization A Agnihotri, R Jain, H Luo Advances in Neural Information Processing Systems 36, 11437-11458, 2023 | 1 | 2023 |
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles S Chitlangia, Z Liu, A Agnihotri, D Zhao arXiv e-prints, arXiv: 2105.00373, 2021 | 1 | 2021 |
A Review on Superplastic Forming of Ti-6Al-4V Alloy A Agnihotri, SA Pratyush, AK Gupta arXiv preprint arXiv:1909.05011, 2019 | 1 | 2019 |
Supplementary Material-Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving H Hu, Z Liu, S Chitlangia, A Agnihotri, D Zhao | | |