RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles

1 May 2019 Ramin Nabati Hairong Qi

Region proposal algorithms play an important role in most state-of-the-art two-stage object detection networks by hypothesizing object locations in the image. Nonetheless, region proposal algorithms are known to be the bottleneck in most two-stage object detection networks, increasing the processing time for each image and resulting in slow networks not suitable for real-time applications such as autonomous driving vehicles... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
3D Object Detection nuScenes-F RRPN + R101 - F AP 43 # 1
AP50 64.9 # 1
AP75 48.5 # 1
AR 48.6 # 1
ARI 58.2 # 1
ARm 41.2 # 1
ARs 4 # 1
3D Object Detection nuScenes-FB RRPN + R101 - FB AP 35.5 # 1
AP50 59 # 1
AP75 37 # 1
AR 42.1 # 1
ARI 51.4 # 1
ARm 39.1 # 1
ARs 21.1 # 1

Methods used in the Paper