Multi-resolution end-to-end CNN with per-resolution batch normalization and resolution retargeting improves safety metrics over fixed-resolution baselines in CARLA simulator tests.
Plm-net: Perception latency mitigation network for vision-based lateral control of autonomous vehicles,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous Driving
Multi-resolution end-to-end CNN with per-resolution batch normalization and resolution retargeting improves safety metrics over fixed-resolution baselines in CARLA simulator tests.