Fusion of Image and Point Cloud for Accurate Obstacle Detection in Autonomous Driving
Author:
Affiliation:
1. School of Computer Science and Information Engineering , Shanghai Institute of Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3635638.3635649
Reference12 articles.
1. Yurtsever E. Lambert J. Carballo A. and Takeda K. 2020. A survey of autonomous driving: Common practices and emerging technologies. IEEE access 8 pp.58443-58469.
2. A Study on Recent Developments and Issues with Obstacle Detection Systems for Automated Vehicles
3. A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments
4. Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
5. Bhavya Sree, B., Yashwanth Bharadwaj, V. and Neelima, N., 2021. An Inter-Comparative Survey on State-of-the-Art Detectors—R-CNN, YOLO, and SSD. In Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES 2020 (pp. 475-483). Springer Singapore.
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