Autonomous Driving
Autonomous driving research aims to develop vehicles capable of navigating and operating without human intervention, prioritizing safety and efficiency. Current efforts heavily focus on improving perception (using techniques like 3D Gaussian splatting and Bird's-Eye-View representations), prediction (leveraging diffusion models, transformers, and Bayesian games to handle uncertainty), and planning (employing reinforcement learning, large language models, and hierarchical approaches for decision-making). These advancements are crucial for enhancing the reliability and safety of autonomous vehicles, with significant implications for transportation systems and the broader AI community.
1419papers
Papers - Page 20
October 30, 2024
EMMA: End-to-End Multimodal Model for Autonomous Driving
Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, James Guo+2S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
Maciej K. Wozniak, Hariprasath Govindarajan, Marvin Klingner, Camille Maurice, B Ravi Kiran, Senthil YogamaniYOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems
Mujadded Al Rabbani AlifSelf-Driving Car Racing: Application of Deep Reinforcement Learning
Florentiana Yuwono, Gan Pang Yen, Jason ChristopherSoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving
Minh Tri Huynh, Duc Dung Nguyen
October 29, 2024
Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
Yuxuan Yang, Hussein SibaiAn Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap Fusion
Minghao Ning, Ahmad Reza Alghooneh, Chen Sun, Ruihe Zhang, Pouya Panahandeh, Steven Tuer, Ehsan Hashemi, Amir KhajepourSenna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
Bo Jiang, Shaoyu Chen, Bencheng Liao, Xingyu Zhang, Wei Yin, Qian Zhang, Chang Huang, Wenyu Liu, Xinggang Wang
October 25, 2024
October 24, 2024
October 23, 2024
CARLA2Real: a tool for reducing the sim2real gap in CARLA simulator
Stefanos Pasios, Nikos NikolaidisYOLO-Vehicle-Pro: A Cloud-Edge Collaborative Framework for Object Detection in Autonomous Driving under Adverse Weather Conditions
Xiguang Li, Jiafu Chen, Yunhe Sun, Na Lin, Ammar Hawbani, Liang ZhaoReal-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in Crossroads
Xinwen Zhu, Zihao Li, Yuxuan Jiang, Jiazhen Xu, Jie Wang, Xuyang Bai
October 22, 2024
YOLO-TS: Real-Time Traffic Sign Detection with Enhanced Accuracy Using Optimized Receptive Fields and Anchor-Free Fusion
Junzhou Chen, Heqiang Huang, Ronghui Zhang, Nengchao Lyu, Yanyong Guo, Hong-Ning Dai, Hong YanPedestrian motion prediction evaluation for urban autonomous driving
Dmytro Zabolotnii, Yar Muhammad, Naveed Muhammad
October 21, 2024
Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance
Zhangwei Gao, Zhe Chen, Erfei Cui, Yiming Ren, Weiyun Wang, Jinguo Zhu, Hao Tian, Shenglong Ye, Junjun He, Xizhou Zhu, Lewei Lu, Tong Lu+3LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation
Hao Gao, Jingyue Wang, Wenyang Fang, Jingwei Xu, Yunpeng Huang, Taolue Chen, Xiaoxing MaBench4Merge: A Comprehensive Benchmark for Merging in Realistic Dense Traffic with Micro-Interactive Vehicles
Zhengming Wang, Junli Wang, Pengfei Li, Zhaohan Li, Chunyang Liu, Bo Zhang, Peng Li, Yilun Chen