228 citations · 459 across the 33 of their papers we have counts for
4 papers · 1 filter
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection
Wenxi Liu, Qi Li, Weixiang Yang +5
HD map reconstruction is crucial for autonomous driving. LiDAR-based methods are limited due to expensive sensors and time-consuming computation. Camera-based methods usually need…
Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning
Jianchuan Ding, Lingping Gao, Wenxi Liu +5
Deep reinforcement learning has achieved great success in laser-based collision avoidance works because the laser can sense accurate depth information without too much redundant da…
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting
Zheng Xiong, Liangyu Chai, Wenxi Liu +3
Crowd image is arguably one of the most laborious data to annotate. In this paper, we devote to reduce the massive demand of densely labeled crowd data, and propose a novel weakly-…
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps
Ke Guo, Wenxi Liu, Jia Pan
In this paper, we aim to forecast a future trajectory distribution of a moving agent in the real world, given the social scene images and historical trajectories. Yet, it is a chal…