… visual perception techniques based on deep learning have … We also design a failure analyzer
to profile the cause of … the CILRS system is prone to cause failures are on both sides of the …

… important problems when it comes to autonomous vehicles.… made the dream of self-driving
autonomous vehicles, a reality… pedestrian movements lead to a vehicle that is unable to move. …

… trends like backpacking and self-driving, has put tremendous … If individuals fail to engage
in environmentally friendly behaviors… the problems with unclear and ambiguous expressions. …

… Failing to learn: Autonomously identifying perception failures for self-driving cars. IEEE
Robotics and Automation Letters, 2018,3(4):3860–3867. [14] Johnson-Roberson M, Barto C, …

… path planning algorithms fail to meet the obstacle avoidance … complexity of modern optimization
problems. These algorithms … In self-driving cars, the APF algorithm must respond in real-…

… Failing to learn:autonomously identifying perception failures for self-driving cars[J]. IEEE
Robotics and … Learning probabilis⁃ tic awareness models for detecting abnormalities in …

… We propose several open problems (eg, data hunger issue … are uniformly sampled from replay
memory, DQN obviously fails … deep reinforcement learning for self-driving car applications. …

… Compared with swarm robots, cooperative driving has both common and characteristic
problems … Failing to learn: autonomously identifying perception failures for self-driving cars. IEEE …

… 为了检验结果是否存在发表偏倚, 本文计算了失安全系数(Fail … with the use of autonomous
self-driving passenger cars[J]. Journal … Perceived safety and attributed value as predictors of the …

… as any failed drug. Governments should proceed with care. … When writing an outline, you
need to first determine the … they learned in college to complex problems in the workplace. …