3D object detection for autonomous driving: A comprehensive survey
Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
Collaborative perception in autonomous driving: Methods, datasets, and challenges
Collaborative perception is essential to address occlusion and sensor failure issues in
autonomous driving. In recent years, theoretical and experimental investigations of novel …
autonomous driving. In recent years, theoretical and experimental investigations of novel …
End-to-end autonomous driving: Challenges and frontiers
The autonomous driving community has witnessed a rapid growth in approaches that
embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …
embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …
Where2comm: Communication-efficient collaborative perception via spatial confidence maps
Multi-agent collaborative perception could significantly upgrade the perception performance
by enabling agents to share complementary information with each other through …
by enabling agents to share complementary information with each other through …
V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting
Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of
surrounding traffic participants can significantly improve decision-making and safety in …
surrounding traffic participants can significantly improve decision-making and safety in …
Learning distilled collaboration graph for multi-agent perception
To promote better performance-bandwidth trade-off for multi-agent perception, we propose a
novel distilled collaboration graph (DiscoGraph) to model trainable, pose-aware, and …
novel distilled collaboration graph (DiscoGraph) to model trainable, pose-aware, and …
V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving
Vehicle-to-everything (V2X) communication techniques enable the collaboration between
vehicles and many other entities in the neighboring environment, which could fundamentally …
vehicles and many other entities in the neighboring environment, which could fundamentally …
Collaboration helps camera overtake lidar in 3d detection
Camera-only 3D detection provides an economical solution with a simple configuration for
localizing objects in 3D space compared to LiDAR-based detection systems. However, a …
localizing objects in 3D space compared to LiDAR-based detection systems. However, a …
Spatio-temporal domain awareness for multi-agent collaborative perception
Multi-agent collaborative perception as a potential application for vehicle-to-everything
communication could significantly improve the perception performance of autonomous …
communication could significantly improve the perception performance of autonomous …
Latency-aware collaborative perception
Collaborative perception has recently shown great potential to improve perception
capabilities over single-agent perception. Existing collaborative perception methods usually …
capabilities over single-agent perception. Existing collaborative perception methods usually …