In this paper, we study how to test the intelligence of an autonomous vehicle.
Comprehensive testing is crucial to both vehicle manufactories and customers. Existing …

合理的测试场景和科学客观的评价方法能促进无人驾驶技术的快速发展, 但目前无人驾驶车辆
定量评价方法中仍需要一定人为参与, 导致评价结果存在较强的主观性. 利用层次分析法 …

Effective simulation and testing environment is a vital part in the research of self-driving
vehicles. It is capable of testing self-driving software and hardware quickly in a variety of …

For unmanned ground vehicle (UGV) off-line testing and performance evaluation, massive
amount of traffic scenario data is often required. The annotations in current off-line traffic …

Achieving excellent generalization on perceiving real traffic scenarios with diversity is the
long-term goal for building robust autonomous driving systems. In this paper, we propose to …

Reasonable test scenarios and objective evaluation methods could rapidly promote the
development of autonomous technology. The current quantitative evaluation method of …

Cognitive ability evaluation in intelligent vehicles is conventionally evaluated by classical
autonomous driving dataset, which lacks comprehensive annotations of driving difficulty …

Development of autonomous vehicles is seen as a solution to many of today's societal and
everyday issues such as traffic congestion, road accidents, and air pollution. Unmanned …

Reasonable test scenarios and objective evaluation methods could rapidly promote the
development of autonomous technology, but the current quantitative evaluation methods of …

In this paper, we present a novel framework to allow users to tour simulated traffic scenes
from the first-person view. Constructing 3-D scenes from road image sequences is in …